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WO2017117786A1 - Procédé et système de recherche de réseau social - Google Patents

Procédé et système de recherche de réseau social Download PDF

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Publication number
WO2017117786A1
WO2017117786A1 PCT/CN2016/070411 CN2016070411W WO2017117786A1 WO 2017117786 A1 WO2017117786 A1 WO 2017117786A1 CN 2016070411 W CN2016070411 W CN 2016070411W WO 2017117786 A1 WO2017117786 A1 WO 2017117786A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
voice information
friend
accent
search
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/070411
Other languages
English (en)
Chinese (zh)
Inventor
马岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to PCT/CN2016/070411 priority Critical patent/WO2017117786A1/fr
Priority to CN201680000018.9A priority patent/CN105683964A/zh
Publication of WO2017117786A1 publication Critical patent/WO2017117786A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/54Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for retrieval

Definitions

  • the present invention relates to the field of Internet, and in particular, to a network social search method and system.
  • the network consists of nodes and connections, representing many objects and their interconnections.
  • a network is a kind of graph that is generally considered to be a weighted graph.
  • the network has a specific physical meaning, that is, the network is abstracted from some practical problem of the same type.
  • the network In the field of computers, the network is a virtual platform for information transmission, reception, and sharing. Through it, the information of various points, faces, and bodies is linked together to realize the sharing of these resources.
  • the network is the most important invention in the history of human development. Improve the development of science and technology and human society.
  • the bud search methods of the existing social networks are generally classified into precise search, that is, by account or nickname search, and also by fuzzy search, for example, by shaking to find netizens within the set range, but these several methods still cannot satisfy the user to search for friends.
  • precise search that is, by account or nickname search
  • fuzzy search for example, by shaking to find netizens within the set range, but these several methods still cannot satisfy the user to search for friends.
  • Demand, user demand is poor.
  • the application provides a network social search method. It solves the shortcomings of the user's demand for the technical solutions of the prior art.
  • a network social search method includes the following steps:
  • the method further includes:
  • the user is located to obtain the city of the user, and the friends in the city who are close to the accent of the voice information are displayed.
  • the method further includes:
  • the user's voice information is carried in the join request and sent to the friend to be joined.
  • a network social search system comprising:
  • An obtaining unit configured to acquire voice information of a user
  • An identification unit configured to analyze and process the voice information to identify an accent of the voice information
  • the search unit is configured to search for a friend who is close to the accent of the voice information, and display the friend.
  • system further includes:
  • the positioning recommendation unit is configured to locate the user to obtain the city of the user, and display the friend in the city that is close to the accent of the voice information.
  • system further includes:
  • the sending unit is configured to: when the user selects to join the friend, carry the voice information of the user in the joining request and send the message to the friend to be joined.
  • the technical solution provided by the invention can acquire the same friends as the voice accent of the user according to the voice information of the user, and realize the joining of the friends with similar accents, that is, the joining of the fellows, and the advantages of the user experience are improved.
  • FIG. 1 is a flowchart of a network social search method according to a first preferred embodiment of the present invention
  • FIG. 2 is a structural diagram of a network social search system according to a second preferred embodiment of the present invention.
  • FIG. 1 is a network social search method according to a first preferred embodiment of the present invention. The method is as shown in FIG. 1 and includes the following steps:
  • Step S101 Acquire voice information of the user
  • Step S102 performing analysis processing on the voice information, and identifying an accent of the voice information
  • the above analysis processing is implemented by Apple's speech recognition software.
  • other methods can be used, such as the support vector machine to recognize the accent of the above voice.
  • Step S103 Search for a friend who is close to the accent of the voice information, and display the friend.
  • the technical solution provided by the invention can acquire the same friends as the voice accent of the user according to the voice information of the user, and realize the joining of the friends with similar accents, that is, the joining of the fellows, and the advantages of the user experience are improved.
  • the foregoing method may further include:
  • the user is located to obtain the city of the user, and the friends in the city who are close to the accent of the voice information are displayed.
  • the foregoing method may further include:
  • the user's voice information is carried in the join request and sent to the friend to be joined.
  • FIG. 2 is a network social search system according to a second preferred embodiment of the present invention.
  • the system is as shown in FIG. 2, and includes:
  • the obtaining unit 201 is configured to acquire voice information of the user.
  • the identifying unit 202 is configured to perform an analysis process on the voice information, and identify an accent of the voice information;
  • the above analysis processing is implemented by Apple's speech recognition software.
  • other methods can be used, such as the support vector machine to recognize the accent of the above voice.
  • the searching unit 203 is configured to search for a friend who is close to the accent of the voice information, and display the friend.
  • the technical solution provided by the invention can acquire the same friends as the voice accent of the user according to the voice information of the user, and realize the joining of the friends with similar accents, that is, the joining of the fellows, and the advantages of the user experience are improved.
  • the above system may further include:
  • the positioning recommendation unit 204 is configured to locate the user to obtain the city of the user, and display the friend in the city that is close to the accent of the voice information.
  • the above system may further include:
  • the sending unit 205 is configured to: when the user selects to join the friend, carry the voice information of the user in the joining request and send the message to the friend to be joined.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.
  • ROM Read-Only Memory
  • RAM Random Access Memory

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computing Systems (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Information Transfer Between Computers (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé et un système de recherche de réseau social. Le procédé comprend les étapes suivantes consistant à : acquérir des informations audio d'un utilisateur (101) ; analyser et traiter les informations audio, et identifier un accent des informations audio (102) ; et rechercher un ami ayant un accent similaire à l'accent des informations audio, et afficher l'ami (103). La solution technique susmentionnée présente un avantage de meilleure expérience d'utilisateur.
PCT/CN2016/070411 2016-01-07 2016-01-07 Procédé et système de recherche de réseau social Ceased WO2017117786A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2016/070411 WO2017117786A1 (fr) 2016-01-07 2016-01-07 Procédé et système de recherche de réseau social
CN201680000018.9A CN105683964A (zh) 2016-01-07 2016-01-07 网络社交搜索方法及系统

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/070411 WO2017117786A1 (fr) 2016-01-07 2016-01-07 Procédé et système de recherche de réseau social

Publications (1)

Publication Number Publication Date
WO2017117786A1 true WO2017117786A1 (fr) 2017-07-13

Family

ID=56216037

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/070411 Ceased WO2017117786A1 (fr) 2016-01-07 2016-01-07 Procédé et système de recherche de réseau social

Country Status (2)

Country Link
CN (1) CN105683964A (fr)
WO (1) WO2017117786A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9854418B1 (en) 2016-09-15 2017-12-26 International Business Machines Corporation Automatic friend connection within a social network
CN113741686B (zh) * 2021-08-06 2024-08-06 深圳市沃特沃德信息有限公司 智能手表的好友添加方法、装置、计算机设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103262156A (zh) * 2010-08-27 2013-08-21 思科技术公司 语音识别语言模型
CN103268566A (zh) * 2013-05-23 2013-08-28 新疆卡尔罗媒体科技有限公司 一种社交网络平台系统及互动方法
CN103870547A (zh) * 2014-02-26 2014-06-18 华为技术有限公司 联系人的分组处理方法及装置
CN104766607A (zh) * 2015-03-05 2015-07-08 广州视源电子科技股份有限公司 一种电视节目推荐方法与系统
CN105159979A (zh) * 2015-08-27 2015-12-16 广东小天才科技有限公司 好友推荐方法及装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103262156A (zh) * 2010-08-27 2013-08-21 思科技术公司 语音识别语言模型
CN103268566A (zh) * 2013-05-23 2013-08-28 新疆卡尔罗媒体科技有限公司 一种社交网络平台系统及互动方法
CN103870547A (zh) * 2014-02-26 2014-06-18 华为技术有限公司 联系人的分组处理方法及装置
CN104766607A (zh) * 2015-03-05 2015-07-08 广州视源电子科技股份有限公司 一种电视节目推荐方法与系统
CN105159979A (zh) * 2015-08-27 2015-12-16 广东小天才科技有限公司 好友推荐方法及装置

Also Published As

Publication number Publication date
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