WO2009062424A1 - Method and system for search - Google Patents

Abstract

A search method is provided by the embodiment of the present invention. The search method includes: matching and obtaining corresponding search type according to the search condition in search request sent from client, sending the search request to search service with the same search type for search according to the matched and obtained search type. A search system is also provided by the embodiment of the present invention. By using the embodiment of the present invention, the user's search type can be automatically identified and matched according to the user's input condition, then the search request can be sent to the search service withthe same function for search, thereby the user's operation can be simplified, the search range can be reduced and the search efficiency can be increased.

Description

 Search method and system

Technical field

 The embodiments of the present invention relate to the field of network technologies, and in particular, to a search method and system. Background technique

 At present, mobile search, as a combination of two popular areas of search engine and mobile communication, has become a new bright spot and growth point for mobile value-added services. The current mobile search only implements the search of WEB and WAP (Wireless Application Protocol) on mobile phones, and does not fully realize the search for telecommunication network resources and localized information services.

 For mobile search, the prior art implements integration, invocation, control, and optimization of multiple independent search engines by invoking other independent search engines.

 In the process of implementing the present invention, the inventors discovered that:

 Traditional search technology can only provide search results based on the user's keywords. Therefore, the search range is too large and the search efficiency is low. Summary of the invention

 The embodiment of the invention provides a search method and system, so as to complete the search for WEB, WAP and telecommunication network resources and localized information services according to the user's search type, and improve the search efficiency.

 To achieve the above objective, an embodiment of the present invention provides a search method, including the following steps:

 According to the search condition in the search request sent by the client, the matching obtains the corresponding search type;

The search request is sent to a search service having the same search type for searching according to the search type obtained by the matching. An embodiment of the present invention further provides a search method, including the following steps: a search server sends a search request to a search agent;

 The search agent performs protocol conversion on the search request and sends the search request to the search service for searching;

 The search service sends a search result to the search agent;

 The search agent sends the search result to the search server after performing protocol conversion.

 An embodiment of the present invention further provides a search method, including the following steps: dividing a search service according to a geographical range of its role;

 The search request is sent to a search service capable of covering the geographic extent required by the search request based on the geographic extent required in the received search request.

 Embodiments of the present invention also provide a method of processing search results, including the following steps:

 For each search result, a personalized relevance score of at least two dimensions resulting from the relevant attributes of the user data is obtained;

 Obtaining a comprehensive personalized relevance score of the search result according to the personalized correlation score of the at least two dimensions;

 Correlation ranking is performed for each search result according to the comprehensive personalized correlation score.

 Embodiments of the present invention also provide a method of processing search results, including the following steps:

 Adapting the network type and the network speed to the search result; the adaptation of the network type and the network speed is specifically: adapting the number of entries returned by the search result page according to the network speed, and information of all the items in one page The total size is limited to the range of t*S, where t is the total timeout for the user to return a search result for a page, and S is the network speed.

 An embodiment of the present invention further provides a search system, including:

a search server, configured to: according to a search condition in a search request sent by the search client, match to obtain a corresponding search type, and send the search request to a search service having the same search type for searching; A search service for performing a search based on a search request sent by the search server. An embodiment of the present invention further provides a search server, including:

 a distribution module, configured to: according to a search condition in a search request sent by the search client, match to obtain a corresponding search type, and send the search request to a search service having the same search type for searching;

 And a processing module, configured to process the result returned by the search service and send the result to the search client.

 An embodiment of the present invention further provides a computer program, including:

 A number of instructions to perform the search method as described.

 Embodiments of the present invention also provide a storage medium storing the computer program. Embodiments of the present invention also provide a computer device comprising software for performing the search method and hardware cooperating with the software.

 In one embodiment, the search type of the matching user is automatically identified according to the input condition of the user, and then the search request is sent to the search service having the same function for searching, thereby simplifying the operation of the user, narrowing the search range, and improving the search efficiency. . DRAWINGS

 1 is a schematic structural diagram of a search system in Embodiment 1 of the present invention; FIG. 2 is a schematic diagram showing the structure of each device in the search system of the present invention in Embodiment 1 of the present invention;

 3 is a flow chart of a search method in Embodiment 2 of the present invention;

 4 is a search flow chart based on text search conditions in Embodiment 2 of the present invention; FIG. 5 is another search flow chart based on text search conditions in Embodiment 2 of the present invention;

 6 is a search flow chart based on multimedia search conditions in Embodiment 2 of the present invention;

 7 is another search flow chart based on multimedia search conditions in Embodiment 2 of the present invention;

FIG. 8 is a flow chart of searching based on a voice search condition in Embodiment 2 of the present invention. detailed description

 Embodiments of the present invention will be further described below in conjunction with the drawings and embodiments. In the first embodiment of the present invention, a search system is provided, as shown in FIG. 1, including: at least one search client 11, at least one search server 12, a user data server 13, at least one search proxy function entity 14, WEB. The search service function entity 15, the WAP search service function entity 16, the telecommunication website search service function entity 17 and the multimedia processing function entity 18. specific:

 The search client 11 is configured to receive input of a user's multi-modal search condition, including input of multimedia multi-modal search conditions such as text, images, audio, and video, and submit a search request to the search server 12.

 The search server 12 is configured to receive the search request of the search client 11 and distribute the search request to each related search agent 14. If the search result of the search server of another operator is needed, the search request needs to be forwarded to the search server. Search servers of other carriers. In addition, the search results returned by the search servers of the respective search agents or other operators are received in real time, the results of the respective search services are aggregated, and then the user data is retrieved from the user data server 13 in real time, and the aggregated search is performed according to the user data. The results are personalized, including sorting relevance/importance of search results based on search history, user profiles, business usage history, location information, and presence information in user data, and filtering out related, less important searches As a result, the personalized search result is adapted to the terminal type, the network type, and the network speed according to the terminal file and the accessed network type and the network speed information in the user data, and then the last adapted search result is obtained. Return to the search client 11.

The search agent 14 is configured to complete protocol conversion between the search server 12 and external search service function entities. When the search request is distributed, the search server 12 sends the search request to the search proxy function entity 14 using a unified protocol, and the search proxy function entity 14 performs protocol conversion, and converts the search request of the unified protocol into an interface protocol redistribution corresponding to each search service. Give each search service functional entity. When returning search results, the search service functional entity will The search result is sent to the search proxy function entity 14, which performs protocol conversion, converts the search result returned by the interface protocol corresponding to the search service into a unified interface protocol with the search server 12, and transmits it to the search server 12.

 The user data server 13 is configured to save data of the user, and provide user data to the search server 12 for performing personalized processing and adaptation processing of the search result, where the user data includes a search history, a user profile, a usage history of the telecommunication service, and a presentation. Information, location information, terminal files and access network types and speed information.

 The search service function entity includes a WEB search service function entity 15, a WAP search service function entity 16 and a search service function entity within the telecommunications website. The WEB search service function entity 15 is used for completing the WEB search, including crawling and searching of the WEB webpage. The WAP search service function entity 16, which is used to complete WAP search, includes crawling and searching of WAP web pages. The search service function entity 17 in the telecommunication website, the search for the internal information of the server for completing the telecommunication network and the SP (Service Provider) / CP (Content Provider) includes the intra-station search of the telecommunication network resources (such as the number) Search for search, ring tones, etc.) and telecommunication SP ( /CP for in-site search, such as local information service provider information search such as weather forecast, bus information, civil aviation information, railway information, hotel information, restaurant information, shopping mall information, etc. .

 The multimedia processing function entity 18 is configured to provide the search server 12 and the search client 11 with the required multimedia processing functions, such as multimedia feature extraction function and voice recognition function.

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 The detailed system module structure diagram is shown in Figure 2:

 The search server 12 further includes a distribution module 121, a convergence module 122, and a processing module 123, wherein the processing module 123 further includes a personalization sub-module 1231 and an adaptation processing sub-module 1232.

The distribution module 121 is configured to receive a search request of the search client 11 and perform distribution. After receiving the search request of the search client 11, first determining whether processing is required: If the search condition submitted by the search client 11 is a voice file, the multimedia processing function entity 18 needs to be called to perform voice recognition, and the voice search condition is converted into Text search condition, if the search condition submitted by the search client 11 is a different multimedia The file of the volume also needs to call the multimedia processing function entity 18 for multimedia feature extraction and convert the multimedia search condition into the multimedia feature search condition after the feature is extracted; if the search condition submitted by the search client 11 is not a voice or multimedia file, then Special treatment. The search request is then distributed to the relevant search agent 14, and the search request is forwarded to the search servers of other operators if the search results of the search servers of other operators are needed. For the search condition of the text (including the text search condition after the speech recognition conversion), when the distribution module 121 performs the distribution, the search type is also automatically matched, and the search service with the same function is distributed according to the search type to perform the search, and the search for the multimedia is performed. The request distribution module 121 distributes the search request to a search agent corresponding to the search service supporting the multimedia search for searching. For the search condition including the geographical scope, it is also necessary to obtain a search service in the search service that can cover the geographical range included in the search condition according to the geographical range covered by the pre-configured different search services for searching.

 The aggregation module 122 is configured to receive in-site search results of each search service returned by each search agent 14 or other operator's search server in real time, and aggregate the results of the respective search services to remove the same repeated search results.

 The personalization sub-module 1231 is configured to acquire user data from the user data server 13 in real time, and personalize the search result aggregated by the aggregation module 122 according to the user data, including: according to various attributes in the user data, such as search history Correlation weight scores for each dimension generated by user profiles, business usage history, location information, and presence information. A comprehensive personalized weight score is generated based on the correlation weight scores of the respective dimensions for use in the search results. Do a comprehensive sort of relevance/importance, and filter out relevant, less important search results.

The adaptation processing sub-module 1232 is configured to acquire the terminal file, the network type of the access, and the network speed information from the user data server 13 in real time, and perform the terminal type and the network type on the search result processed by the personalized sub-module 1231 according to the information. Adapting to the network speed, and then returning the last adapted search result to the search client 11. Specifically, the terminal type matching is mainly an adaptation of the search result display according to the terminal size, and the adaptation of the network type and the network speed is to adapt the number of entries in the page of the return result according to the network speed related to the network type. Assume that the user can tolerate a total timeout of returning a page of search results For t, the network speed is s, then the amount of information returned by the adaptation is at most t*s, and the total information size of all entries in one page is limited to the range of t*s.

 The user data server 13 further includes a user attribute storage sub-module 131 and a user type storage sub-module 132. The user attribute storage sub-module 131 is configured to save attribute information such as a search history, a user profile, a service usage history, location information, and presence information of the user, and provide the search information to the search server for personalized processing. The user type storage sub-module 132 is configured to store information such as network type and network speed information of the terminal file and access, and provides the information to the search server for adaptation processing.

 The search client 11 further includes a multi-mode search condition input module 111 for inputting text and multimedia (image, sound, video) search conditions.

 The multimedia processing function entity 18 further includes a voice recognition module 181 and a multimedia feature extraction module 182. The voice recognition module 181 is configured to convert voice into text; and the multimedia feature extraction module 182 is configured to extract multimedia features. The speech recognition module 181 and the multimedia feature extraction module 182 may be internal modules of the search client 11, or may be internal modules of the search server 12, or may be modules in the network-side independent multimedia processing function entity 18.

 By using the system and device provided by the above embodiments, the following beneficial effects are achieved: (1) automatically matching the search type of the matching user according to the input condition of the user, and then sending the search request to the search service having the same function for searching, thereby It simplifies the user's operation (automatically matching the type instead of letting the user choose from all the many default types), and narrowing the search to improve the efficiency of the search.

 (2) Extending the scope of search services to search services including WEB, WAP and telecommunications network resources and localized information services.

 (3) Divide the search service according to the geographical scope of its function, and distribute the search request to the search service of the geographical scope of the search scope request to distribute the search request only to the search service, thereby narrowing the search The scope of the search to improve the efficiency of the search.

(4) Personalizing the search results to obtain the attributes of the user data (including search history, business usage history, user profile, presence information, location information, etc.) The correlation weight scores of each dimension of the birth, based on the correlation weight scores of these dimensions, a comprehensive personalized weight score is directly applied to the personalized sorting process of the search results, taking into account the individual dimensions of the individualization. , to make the search results more comprehensive and complete, more in line with the user's individual needs (the result of the user's search is the user's most desired result), so as to achieve the purpose of accurate search.

 (5) The search result is adapted, and the search result is adapted to the terminal characteristics and the network speed, thereby giving the user a good experience.

 (6) Increasing the processing of multimedia multi-mode search conditions and supporting multimedia search. For a voice-triggered search, the speech is recognized as a corresponding text and the corresponding search type is matched, and the recognized text and the search type obtained by the matching are returned to the user for confirmation and selection, so that the user only needs to confirm the text and the type together. It simplifies the user's operation, reduces the number of times the terminal interacts with the system, and enhances the user's experience.

 In the second embodiment of the present invention, a search method is provided, as shown in FIG. 3, including the following steps:

 Step s301: The search server obtains a corresponding search type according to the search condition in the search request sent by the client.

 Step s302: The search server sends the search request to the search service having the same search type for searching according to the search type obtained by the matching.

 A method of searching in an embodiment of the present invention is described below in conjunction with a specific application scenario.

 First, a search method in the embodiment of the present invention will be described by taking a search based on text search conditions as an example. As shown in Figure 4, the following steps are included:

 Step s401: The search client submits a text mode search request to the search server.

 Step s402: The search server distributes the search request to each search agent.

The search server automatically matches the search type when distributing, and distributes to the search service with the same function by search type to search. The specific method can be: First, the search function of all search services is divided into n types, for example, the search function of the search service can be divided into: WEB, WAP, local search, map, news, sports, entertainment, wealth , technology, real estate, games, women, forum, weather, merchandise, home appliances, music, reading, blog, mobile, military, education, travel, MMS, ring tones, catering, civil aviation, industry, agriculture, computers, geography, etc. The system maintains a dictionary divided by these n types. The structure of the dictionary can be organized as shown in Table 1 below.

 Table 1: Dictionary structure used to divide the search type

 For each type, the related vocabulary is included, and a word can belong to more than one type at the same time. The system maintains a correspondence table between the search service and its related function types, and assigns each search service to the relevant search function type according to its function. The search type table corresponding to the search service is shown in Table 2.

 Table 2: Search Type Tables for Search Services

分发时， 搜索服务器的分发功能首先将搜索条件的文本进行切 词，将得到的关键字查类型字典，也可以将搜索条件转换成若干个（资 源、 属性、 属性值） 的三元组， 将与资源对应的关键词查类型字典， 得出搜索的相关类型 （可以多个）， 为了处理由于一词可以匹配到多 种类型的情况， 将系统初选的类型返回给终端用户做进一步的选择， 如果出现输入的所有关键词在类型字典里都找不到的情况 ,则将所有 类型都返回给用户做进一步的选择。然后将最后得到的类型与搜索服 务类型表相匹配， 找出具有相同功能类型的搜索服务的集合， 对于多 媒体的搜索请求的分发， 系统维持的搜索服务对应功能类型表还包含 一项： "是否支持多媒体搜索"， 进行多媒体搜索请求分发时， 首先查 一下搜索服务对应的功能类型表，找出支持多媒体搜索功能的搜索服 务， 假设经过上面类型匹配刷选得到的搜索服务的集合为 A, 如果搜 索请求中没有指明搜索的地理范围，则携带搜索类型将搜索请求直接 分发往这些搜索服务 A对应的搜索代理。

When distributing, the distribution function of the search server first cuts the text of the search condition, and the obtained keyword search type dictionary can also convert the search condition into a plurality of triples (resources, attributes, attribute values), The keyword search type dictionary corresponding to the resource is used to obtain the relevant type of search (may be multiple). In order to deal with the situation that the word can be matched to multiple types, the system primary selection type is returned to the end user for further selection. If all the keywords entered are not found in the type dictionary, all types are returned to the user for further selection. Then, the last obtained type is matched with the search service type table to find a collection of search services having the same function type. For the distribution of the multimedia search request, the system-maintained search service corresponding function type table further includes One: "Do you support multimedia search?" When performing multimedia search request distribution, first check the function type table corresponding to the search service, and find the search service that supports the multimedia search function, assuming that the search service is selected by the above type matching. The set is A. If the geographic range of the search is not specified in the search request, the search type is carried to directly distribute the search request to the search agents corresponding to the search services A.

 If the search request has the geographical scope of the search, further processing is required. For example, for the search request "Restaurant near Beijing Road, Guangzhou", the search scope is specified in Guangzhou, and the system must maintain a search service. A table of geographic extents, as shown in Table 3 below.

 Table 3: Search Geographic Range Table for Search Service

对于上面经过类型匹配刷选得到的搜索服务的集合 A,再用地理 范围刷选一遍。 对于属于 A的搜索服务 a, 查上面这张表， 如果搜索 请求的搜索地理范围落在 a作用的地理范围内， 则选中 a, 否则剔除 a。 这样经过搜索类型和地理范围两次刷选后得到最终的搜索服务的 集合 B, 然后携带搜索类型和搜索地理范围将搜索请求分发往这些搜 索服务 B对应的搜索代理。

For the collection A of the search service selected by the type matching, the geographic range is selected again. For the search service a belonging to A, check the above table. If the search geographic range of the search request falls within the geographical range of the role of a, select a, otherwise reject a. In this way, after the search type and the geographic range are twice selected, the final search service collection B is obtained, and then the search type and the search geographic range are carried to distribute the search request to the search agents corresponding to the search services B.

 Step s403: The search agent converts the search request into a protocol and converts it into a protocol corresponding to the search service.

Step _S 404: The search agent sends a search request that has undergone protocol conversion to the corresponding search service.

 Step s405, the search service performs a station search.

 Step s406: The search service returns the search result in the station to the search agent.

Step s407, the search agent converts the search result into a protocol and converts it into a search server. The corresponding agreement.

 Step s408: The search agent returns the search result converted by the protocol to the search server.

 Step s409: The search server aggregates the search results, and the search module receives the on-site search results of each search service returned by each search agent in real time, and aggregates the results of the respective search services to remove the same repeated search results.

 Step s410: The search server requests the user data server to acquire user data. Step s511: The user data server returns user data, and the user data includes several types of information such as a search history, a user profile, a service usage history, location information and presence information, a terminal file, and an access network type and network speed information.

 Step s412: The search server personalizes the search result.

 Specifically, the personalized processing function of the search server retrieves user data from the user data server in real time, and personalizes the aggregated search result according to the user data, including according to the search history, user profile, and service usage in the user data. A variety of attributes, such as history, location information, and presence information, provide a comprehensive correlation/importance ranking of search results, as well as filtering out relevance and less important search results. The specific method is: for a search result, respectively, according to attributes in the user data, such as search history, user profile, telecommunication service usage history, location information, and presence information, respectively, the weight scores of the individualized correlations of the respective dimensions are calculated, Then, a comprehensive personalized correlation weight score is calculated according to the personalized weight scores of at least two dimensions, and then the comprehensive personalized correlation weight score is directly applied to the relevance ranking of the search results, and the comprehensive calculation is calculated. The method for personalizing the relevance weight score includes any one of the following: adding, averaging, weighting, weighting, and maximizing the correlation weight scores of at least two dimensions generated by the attributes of the user data. Value, etc.

For example: Suppose a location-related search "find nearby restaurants", assuming that the user location information is read to know that the user's current location is Putian, assuming that the user returns n search results at most, according to the size of the distance can be given to the n As a result, the personalized weighting score associated with the location of l~n is given. The most recent weighted score is n, and the farthest weighted score is 1. In addition, for a URL that has been clicked by the user, the personalization right The weighted value begins to be paid n, after a period of time (such as one month), if it is not searched by the user again, the personalized weight score is automatically subtracted m ( m < n ), if When the URL is clicked again by the user, its personalized weight score is again restored to n. According to the user profile, the user likes Sichuan cuisine, and if the search result is a Sichuan-related URL, the personalized weight score for s is paid. In this way, for a search result entry of a Sichuan restaurant that was recently searched by the user and was clicked by the user a month ago, it is assumed that the personalized correlation weights of the two dimensions of the relevant telecommunication service usage history and presence information are calculated. Zero, then the comprehensive personalized relevance score for the search result entry = n + (nm) + s + 0 + 0. In this way, for a location-related search result, the location-related personalized weight score, the search history click-related personalized weight score, the user profile-related personalized weight score, and the telecommunication service usage history personalized weight score Adding a personalized weighted score to the presented information to obtain a comprehensive personalized relevance score, and then using this comprehensive related personalized relevance score for the relevance ranking of the search results, thereby completing a comprehensive personalized relevance. Sort. In addition to the above-mentioned method of adding and summing, the comprehensive personalized correlation score can be obtained by means of averaging, weighted addition, weighted average or maximum value.

 Step s413: The search server performs network and terminal adaptation on the search result.

 Specifically, the matching function of the search server acquires the terminal file, the access network type, and the network speed information in real time, and according to the information, the personalized search result is adapted to the terminal type, the network type, and the network speed, and then the last The adapted search results are returned to the search client. The terminal type matching is mainly based on the terminal size to perform the matching of the search result display. The network type and the network speed are adapted according to the network type-related network speed, and the number of entries in the page is returned, for example, the user is assumed to be normal. The total timeout for a tolerable return to a search result is t, and the network speed is s, then the amount of information returned by the adaptation is at most t*s, and the total information size of all entries in a page is limited to the range of t*s. Inside.

 Step s414: The search server returns the final search result to the search client.

 By using the method provided by the above embodiments, the following beneficial effects are achieved:

(1) The user can automatically identify the search type of the matching user according to the input condition of the user, and then send the search request to the search service having the same function for searching, thereby simplifying the user's Operation (automatically matching the type instead of letting the user choose from all the many default types), and narrowing the scope of the search to improve the efficiency of the search.

 (2) Extending the scope of search services to search services including WEB, WAP and telecommunications network resources and localized information services.

 (3) Divide the search service according to the geographical scope of its function, and distribute the search request to the search service of the geographical scope of the search scope request to distribute the search request only to the search service, thereby narrowing the search The scope of the search to improve the efficiency of the search.

 (4) Personalizing the search results to obtain the relevance weight scores of the dimensions generated by the attributes of the user data (including search history, business usage history, user profile, presence information, location information, etc.), based on these The relevance weight score of the dimension produces a comprehensive personalized weight score directly affecting the personalized sorting process of the search result, taking into account the individual dimensions, making the search result more comprehensive and complete, more in line with the user. The personalization needs (the result of a user's search is the most desired result of the user), so as to achieve the purpose of accurate search.

 (5) The search result is adapted, and the search result is adapted to the terminal characteristics and the network speed, thereby giving the user a good experience.

 When the search based on text search conditions needs to be interconnected with other operator search servers, the processing flow of the search is as shown in Figure 5, including the following steps:

 Step s501: The search client submits a text mode search request to the search server.

 Step s502, the search server distributes the search request to the search server of another operator

 Step s503, the search server of another operator returns the search result to the search service.

 Steps s504 to s509 are the same as steps s409 to s414 described above, and the description will not be repeated here.

The processing flow of the search in the embodiment of the present invention is described below, taking the search condition as the multimedia-based search and the search client having the multimedia feature extraction function as an example. As shown, the following steps are included:

 Step s601: The user inputs a multimedia search condition in the search client.

 Step s602: The multi-mode search condition input function in the search client requests multimedia feature extraction to the multimedia feature extraction function.

 Step s603: The multimedia feature extraction function returns the extracted multimedia feature. Step s604: The search client initiates a search request to the search server by using the multimedia feature as a search condition.

 Step s605: The search server initiates a search request to the search agent corresponding to the search service supporting the multimedia search by using the multimedia feature as the search condition.

 The subsequent steps are the same as steps s403 to s414 of the flow shown in Fig. 4, and the description will not be repeated here.

 The following describes the processing flow of the search in the embodiment of the present invention by using the search condition as the multimedia-based search and the search client does not have the multi-media feature extraction function. As shown in FIG. 7, the following steps are included:

 Step s701: The user inputs a multimedia search condition.

 Step s702: The search client initiates a search request to the search server by using the multimedia file as a search condition.

 Step s703: The search server requests multimedia feature extraction from the multimedia feature extraction function entity in the network.

 Step s704: The multimedia feature extraction function entity returns the extracted multimedia feature to the search server

 Step s705: The search server initiates a search request to the search agent corresponding to the search service supporting the multimedia search by using the multimedia feature as a search condition.

 The subsequent steps are the same as steps s403 to s414 of the flow shown in Fig. 4, and the description will not be repeated here.

 The processing flow of the search of the embodiment of the present invention will be described below by taking the search condition as a voice-based search as an example. The voice recognition function entity may be located at the search client or on the network side. As shown in Figure 8, the following steps are included:

In step s801, the user inputs a voice search condition. Step s802: The search client requests the voice recognition function entity to perform voice recognition. Step s803: The voice recognition function entity submits the text corresponding to the voice converted into the search server to the search server.

 Step s804: The search server matches the text to the corresponding search type, and the matching method is the same as the method of matching the search type in the step s402 of the search processing flow of FIG. 4 .

 Step s805: The distribution function of the search server returns the text corresponding to the voice converted into the search and the corresponding search type obtained by the matching to the search client.

 Step s806, the user confirms the correctness of the recognized text by searching the client and selects the final search type.

 If the identification text is biased, the user manually corrects the terminal and resubmits the correct text to the search server, the distribution function of the search server rematches the search type and returns to the search client for selection by the user.

 Step s807: The search client submits the final text and the search type as search conditions to the search server.

 Step s808: The search server finds a search service having the same function type according to the search type.

 Step s809: The search server initiates a search request to the search service corresponding search agent obtained in step s908 by using the text and the search type as the search condition.

 The subsequent steps are the same as steps s403 to s414 of the flow shown in Fig. 4, and will not be repeatedly described.

 By using the method provided in the above embodiment, the multi-mode search condition of multimedia is processed to support multimedia search. For a voice-triggered search, the speech is recognized as a corresponding text and the corresponding search type is matched, and the recognized text and the search type obtained by the matching are returned to the user for confirmation and selection, so that the user only needs to confirm the text and the type together. It simplifies the user's operation, reduces the number of times the terminal interacts with the system, and enhances the user's experience.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or can be added with necessary general hardware by software. The way to implement it. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product stored in a non-volatile storage medium (which may be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a plurality of instructions. It is used to cause a device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

 In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

Rights request A search method, comprising the steps of:  According to the search condition in the search request sent by the client, the matching obtains the corresponding search type;  The search request is sent to a search service having the same search type for searching according to the search type obtained by the matching.  The search method according to claim 1, wherein, according to the search condition in the search request sent by the client, the matching search type is specifically: when the search condition is a text mode, according to the Text to obtain keywords or keywords;  The search type corresponding to the search condition is matched according to the acquired keyword or keyword, and a keyword or keyword included in a different search type set in advance.  The search method according to claim 1, wherein the matching according to the search condition in the search request sent by the client, the corresponding search type is specifically: when the search condition is the voice mode, the local or a multimedia processing function entity on the network side converts the voice into text;  Obtaining keywords or keywords according to the text;  The search type corresponding to the search condition is matched according to the acquired keyword or keyword, and a keyword or keyword included in a different search type set in advance.  The search method according to claim 1, wherein the matching according to the search condition in the search request sent by the client, the corresponding search type is specifically: when the search condition is the multimedia mode, the local or The multimedia processing function entity on the network side extracts multimedia features in the search condition;  And matching the search type corresponding to the search condition according to the acquired multimedia feature and the multimedia feature included in different search types set in advance. The search method according to any one of claims 1 to 4, characterized in that After the matching gets the corresponding search type, it also includes:  Sending the search type obtained by the matching to the client;  Receiving an acknowledgement by the client of the search type obtained by the matching.  The search method according to claim 1, wherein the searching request is sent to a search service having the same search type according to the search type obtained by the matching, and the search is:  And obtaining, according to the search type obtained by the matching, and the search type supported by the different search services set in advance, obtaining a search service having the same search type as the search type obtained by the matching;  After the search request is protocol converted, it is sent to the obtained search service.  The search method according to claim 6, wherein the obtaining and matching the search type having the same search type as the search type further comprises:  Obtaining the geographic extent required by the search criteria;  The search service of the search service having the same search type that can cover the geographical range required by the search condition is obtained according to a geographical range covered by different pre-configured search services.  8. The search method according to claim 1, wherein the processing of the result returned by the search service further comprises:  Performing protocol conversion on the results returned by the search service.  The search method according to claim 1, wherein after the searching request is sent to a search service having the same search type for searching, the method further includes: processing the result returned by the search service The client sends.  10. The search method according to claim 9, wherein the result returned by the search service is specifically processed as follows:  The result returned by the search service is personalized according to related attributes of the user data; the related attributes of the user data include: one of a search history, a user profile, a usage history of the telecommunication service, presence information, and location information. Or multiple; and / or Performing an adaptation process on the result returned by the search service according to the terminal type; The terminal type includes one or more of a terminal file, a network type of access, and network speed information. The search method according to claim 10, wherein the personalized processing comprises personalizing relevance ranking of the search results, and the personalized relevance ranking is:  For a search result, obtaining a personalized relevance score of at least two dimensions generated by related attributes of the user data;  Obtaining a comprehensive personalized relevance score of the search result according to the personalized correlation score of the at least two dimensions;  Correlation ranking is performed for each search result according to the comprehensive personalized correlation score.  The search method according to claim 11, wherein the acquiring the integrated personalized relevance score is specifically:  The correlation scores of the at least two dimensions are added, averaged, weighted, weighted, averaged, or taken to obtain a comprehensive personalized relevance score.  The search method according to claim 10, wherein the adaptation process is specifically:  Adapting the network type and the network speed to the search result; the adaptation of the network type and the network speed is specifically: adapting the number of entries returned by one page of the search result according to the network speed, and all the entries in one page The total size of the information is limited to the range of t*s, where t is the total timeout for the user to return a search result for a page, and s is the network speed.  14. A search method, comprising the steps of:  The search server sends a search request to the search agent;  The search agent performs protocol conversion on the search request and sends the search request to the search service for searching;  The search service sends a search result to the search agent;  The search agent sends the search result to the search server after performing protocol conversion.  15. A search method, comprising the steps of: Divide the search service according to the geographical scope of its role; The search request is sent to a search service capable of covering the geographic scope required by the search request based on the geographic extent required in the received search request.  16. A method of processing search results, comprising the steps of:  For each search result, a personalized relevance score of at least two dimensions resulting from the relevant attributes of the user data is obtained;  Obtaining a comprehensive personalized relevance score of the search result according to the personalized correlation score of the at least two dimensions;  Correlation ranking is performed for each search result according to the comprehensive personalized correlation score.  17. The method of processing search results according to claim 16, wherein the obtaining the integrated personalized relevance score is specifically:  The correlation scores of the at least two dimensions are added, averaged, weighted, weighted, averaged, or taken to obtain a comprehensive personalized relevance score.  The method for processing a search result according to claim 16, wherein the related attributes of the user data include: one of a search history, a user profile, a usage history of a telecommunication service, presence information, and location information. Or a variety.  19. A method of processing search results, comprising the steps of:  Adapting the network type and the network speed to the search result; the adaptation of the network type and the network speed is specifically: adapting the number of entries returned by the search result page according to the network speed, and information of all the items in one page The total size is limited to the range of t*s, where t is the total timeout for the user to return a search result for a page, and s is the network speed.  20. A search system, comprising:  a search server, configured to: according to a search condition in a search request sent by the search client, match to obtain a corresponding search type, and send the search request to a search service having the same search type for searching;  A search service for performing a search based on a search request sent by the search server. The search system of claim 20, further comprising: And a search agent, configured to send a search request sent by the search server to the search service after performing protocol conversion; and perform a protocol conversion on the search result returned by the search service, and send the search result to the search server.  The search system according to claim 20, further comprising: a user data server, configured to store user data of the search client, and provide the search server with a process for searching for a result; The data includes: one or more of search history, user profile, usage history of telecommunication service, presence information, location information, terminal file, network type of access, and network speed information.  The search system of claim 20, further comprising: a multimedia processing function entity, configured to convert a voice mode in the search condition sent by the search client to a text mode, and/or from the The multimedia feature is extracted from the multimedia mode in the search condition sent by the search client, and the converted text mode or the extracted multimedia feature is sent to the search server.  The search system according to claim 20, wherein the search service comprises: one or more of a WEB search service function entity, a WAP search service function entity, and a search service function entity within the telecommunication website.  25. A search server, comprising:  a distribution module, configured to: according to a search condition in a search request sent by the search client, match to obtain a corresponding search type, and send the search request to a search service having the same search type for searching;  And a processing module, configured to process the result returned by the search service and send the result to the search client.  The search server according to claim 25, wherein the processing module further comprises:  a personalization processing sub-module, configured to acquire user data, and perform personalized correlation sorting processing on the returned result of the search service according to the related attribute of the user data; the related attributes of the user data include: a search history, a user profile, One or more of the usage history, presence information, and location information of the telecommunication service; An adaptation processing submodule, configured to acquire user data, and according to the user data The terminal type performs an adaptation process on the search result processed by the personalized processing sub-module, and sends the search result to the search client; the terminal type includes one or more of a terminal file, a network type of access, and network speed information. Kind.  The search server according to claim 25, further comprising: a convergence module, configured to receive the search result returned by the search service in real time, aggregate the results of the respective search services, and remove the same repeated search result.  The search server according to claim 25, further comprising: a multimedia processing function module, configured to convert a voice mode in the search condition sent by the search client to a text mode, and/or from the The multimedia feature is extracted from the multimedia mode in the search condition sent by the search client and provided to the distribution module.  A computer program, comprising: a plurality of instructions for performing the search method of the preceding claims 1-19.  30. A storage medium, characterized by storing the computer program of claim 29.  31. A computer apparatus, comprising: software for performing the search method of claims 1-19 above and hardware in cooperation with software.