CN104680399A - Sale recommending method for agricultural material commodities - Google Patents
Sale recommending method for agricultural material commodities Download PDFInfo
- Publication number
- CN104680399A CN104680399A CN201510111426.9A CN201510111426A CN104680399A CN 104680399 A CN104680399 A CN 104680399A CN 201510111426 A CN201510111426 A CN 201510111426A CN 104680399 A CN104680399 A CN 104680399A
- Authority
- CN
- China
- Prior art keywords
- commodity
- agricultural production
- crops
- agricultural material
- sales
- 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.)
- Pending
Links
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a sale recommending method for agricultural material commodities. According to the technical scheme provided by the invention, the sale recommending method comprises the following steps: a, building a many-to-many relational model between the agricultural material commodities and crops; b, inputting selected crops, and finding agricultural material commodities corresponding to the selected crops in the built relational model according to the selected crops; c, ranking the found agricultural material commodities according to commodity recommending indexes, and displaying and outputting a required recommending number of agricultural material commodities. A candidate set of candidate agricultural material commodities is first reduced through selecting the crops, and the effectiveness of recommending the agricultural material commodities is ensured due to the former building of the many-to-many relation between the crops and the agricultural material commodities. The agricultural material commodities with the highest numerical values are selected and recommended through the commodity recommending indexes of the agricultural material commodities, and commodity recommending practicability is ensured.
Description
Technical field
The present invention relates to a kind of method, especially a kind of means of agricultural production merchandise sales recommend method, belongs to the technical field of means of agricultural production ecommerce.
Background technology
Along with the development of agricultural materials market and the popular of ecommerce, means of agricultural production ecommerce and means of agricultural production marketing informationization manage in the ascendant.Under normal circumstances, the commodity of e-business network standing-meeting interested to customer recommendation, its foundation is that the user by buying or browse similar clause has similar preference, utilizes collaborative filtering to carry out commercial product recommending.But means of agricultural production commodity user pays close attention to the means of agricultural production commodity for certain crops more, the mode of common e-commerce website is improper in means of agricultural production ecommerce.So need to propose a kind of commercial product recommending algorithm being more applicable to means of agricultural production ecommerce, increase validity and the practicality of commercial product recommending.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of means of agricultural production merchandise sales recommend method, it meets means of agricultural production ecommerce actual conditions more, improves validity and the practicality of means of agricultural production ecommerce commercial product recommending, safe and reliable.
According to technical scheme provided by the invention, a kind of means of agricultural production merchandise sales recommend method, described recommend method comprises the steps:
A, set up the relational model of the multi-to-multi of means of agricultural production commodity and crops;
The crops that b, input are selected, according to described selected crops, find the means of agricultural production commodity that all and selected crops are corresponding in the relational model of above-mentioned foundation;
C, the above-mentioned means of agricultural production commodity found to be sorted according to commercial product recommending index, and by the means of agricultural production commodity display translation of required recommendation number.
In described step c, according to the means of agricultural production commodity sales volume of nearly 3 months, whether sales promotion discounting and commodity overall evaluation determination commercial product recommending index.
Described commercial product recommending index T is:
T＝0.5*w1+0.2*w2+0.3*w3
Wherein, w1 is the weight of nearly three months sales volumes, and w2 is the weight whether sales promotion gives a discount, and w3 is the weight of commodity comprehensive evaluation;
n is the commodity total quantity participating in calculating, and r is the rank of sales volume in all commodity of described commodity,
Advantage of the present invention: by selected crops, first reduces the Candidate Set of candidate's means of agricultural production commodity, owing to previously establishing the relation of crops and means of agricultural production commodity multi-to-multi, ensure that the validity of means of agricultural production commercial product recommending; By the commercial product recommending index of means of agricultural production commodity, select the means of agricultural production commodity of the highest item of numerical value to recommend, ensure that the practicality of commercial product recommending.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention.
Embodiment
Below in conjunction with concrete drawings and Examples, the invention will be further described.
As shown in Figure 1: in order to more meet means of agricultural production ecommerce actual conditions, improve validity and the practicality of means of agricultural production ecommerce commercial product recommending, the recommend method of means of agricultural production merchandise sales of the present invention comprises the steps:
A, set up the relational model of the multi-to-multi of means of agricultural production commodity and crops;
In the embodiment of the present invention, the crops of setting up in relevant database with the table simulation of three below and the relation of means of agricultural production commodity multi-to-multi, as space is limited, only list and record to describe the problem on a small quantity.
Table 1 is some crops database table:
| Aid | Crop title | Other information |
| 1 | Wheat | Slightly |
| 2 | Paddy rice | Slightly |
| 3 | Corn | Slightly |
| 4 | Potato | Slightly |
Table 2 is part means of agricultural production commodity list:
| Pid | Trade name | Other information |
| 1 | The grand potassium chloride of brightness | Slightly |
| 2 | The rich urea of five standing grain | Slightly |
| 3 | Gold Du'er herbicide | Slightly |
| 4 | High woods potassium chloride | Slightly |
Table 3 is some crops and means of agricultural production commodity relation table:
| Aid | Pid |
| 1 | 1 |
| 1 | 2 |
| 1 | 4 |
| 2 | 1 |
| 2 | 3 |
| 2 | 4 |
According to table 3, known for crops 1, the means of agricultural production commodity that namely wheat is suitable for are commodity 1, means of agricultural production commodity 2, means of agricultural production commodity 4; For crops 2, the means of agricultural production commodity that namely paddy rice uses are means of agricultural production commodity 1, means of agricultural production commodity 3, means of agricultural production commodity 4.
The crops that b, input are selected, according to described selected crops, find the means of agricultural production commodity that all and selected crops are corresponding in the relational model of above-mentioned foundation;
In the embodiment of the present invention, suppose that selected crops are wheat, so corresponding means of agricultural production commodity be numbered means of agricultural production commodity 1, means of agricultural production commodity 2, means of agricultural production commodity 4.For the crops that other are selected, can find all means of agricultural production commodity in the relational model set up, concrete corresponding relation, repeats herein no longer one by one.
C, the above-mentioned means of agricultural production commodity found to be sorted according to commercial product recommending index, and by the means of agricultural production commodity display translation of required recommendation number.
In described step c, according to the means of agricultural production commodity sales volume of nearly 3 months, whether sales promotion discounting and commodity overall evaluation determination commercial product recommending index.In the embodiment of the present invention, according to the investigation to agricultural materials market, can determine that " sales volumes of nearly 3 months " accounting is heavily 0.5, whether " sales promotion discounting " accounts for 0.2, and " commodity evaluation " accounts for 0.3, thus can determine commercial product recommending index.
Described commercial product recommending index T is:
T＝0.5*w1+0.2*w2+0.3*w3
Wherein, w1 is the weight of nearly three months sales volumes, and w2 is the weight whether sales promotion gives a discount, and w3 is the weight of commodity comprehensive evaluation;
n is the commodity total quantity participating in calculating, and r is the rank of sales volume in all commodity of described commodity,
in e-commerce website, usually have " commodity evaluation ", mode flexibly can be adopted to give a mark to commodity according to commodity evaluation, make " commodity evaluation " score distribution between 0 ~ 1, be the weight w3 of " commodity evaluation ".
Suppose " nearly three months sales volumes " of three kinds of means of agricultural production commodity, " whether discount ", " commodity evaluation " standard is as following table:
| Pid | Nearly three months sales volumes | Whether discount | Commodity are evaluated |
| 1 | 457 | Be | 0.82 |
| 2 | 369 | Be | 0.89 |
| 4 | 528 | No | 0.85 |
The recommendation index of means of agricultural production commodity 1 (the grand potassium chloride of brightness) is:
T1＝[(3-2+1)/3]*0.5+1*0.2+0.82*0.3＝0.406；
The recommendation index of means of agricultural production commodity 2 (the rich urea of five standing grain) is:
T2＝[(3-3+1)/3]*0.5+1*0.2+0.89*0.3＝0.377；
The recommendation index of means of agricultural production commodity 4 (high woods potassium chloride) is:
T4＝[(3-1+1)/3]*0.5+0*0.2+0.85*0.3＝0.405；
So the order of last recommended means of agricultural production commodity is: means of agricultural production commodity 1, means of agricultural production commodity 4, means of agricultural production commodity 2.
If only wish recommendation two kinds of commodity in the system of reality, then the numbering of the commodity recommended is means of agricultural production commodity 1 and means of agricultural production commodity 4.In actual applications, should have more multinomial recommendable commodity, here in order to simplified operation process, example is less, but does not affect the explanation of problem.
Above-mentioned exemplifying embodiment is one embodiment of the present invention; but embodiments of the present invention are not restricted to the described embodiments; the change done under other any does not deviate from principle of the present invention, modification, substitute, combination, to simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (3)
1. a means of agricultural production merchandise sales recommend method, is characterized in that, described recommend method comprises the steps:
(a), set up the relational model of the multi-to-multi of means of agricultural production commodity and crops;
B crops that (), input are selected, according to described selected crops, find the means of agricultural production commodity that all and selected crops are corresponding in the relational model of above-mentioned foundation;
(c), the above-mentioned means of agricultural production commodity found are sorted according to commercial product recommending index, and by the means of agricultural production commodity display translation of required recommendation number.
2. whether means of agricultural production merchandise sales recommend method according to claim 1, is characterized in that: in described step (c), according to the means of agricultural production commodity sales volume of nearly 3 months, sales promotion discounting and commodity overall evaluation determination commercial product recommending index.
3. means of agricultural production merchandise sales recommend method according to claim 2, is characterized in that: described commercial product recommending index T is:
T＝0.5*w1+0.2*w2+0.3*w3
Wherein, w1 is the weight of nearly three months sales volumes, and w2 is the weight whether sales promotion gives a discount, and w3 is the weight of commodity comprehensive evaluation;
n is the commodity total quantity participating in calculating, and r is the rank of sales volume in all commodity of described commodity,
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510111426.9A CN104680399A (en) | 2015-03-13 | 2015-03-13 | Sale recommending method for agricultural material commodities |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510111426.9A CN104680399A (en) | 2015-03-13 | 2015-03-13 | Sale recommending method for agricultural material commodities |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104680399A true CN104680399A (en) | 2015-06-03 |
Family
ID=53315402
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510111426.9A Pending CN104680399A (en) | 2015-03-13 | 2015-03-13 | Sale recommending method for agricultural material commodities |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104680399A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184618A (en) * | 2015-10-20 | 2015-12-23 | 广州唯品会信息科技有限公司 | Commodity individual recommendation method for new users and system |
| CN107133838A (en) * | 2017-03-22 | 2017-09-05 | 无锡中科富农物联科技有限公司 | A kind of Knowledge based engineering means of agricultural production Method of Commodity Recommendation |
| CN107239495A (en) * | 2017-04-28 | 2017-10-10 | 杭州集盒网络技术有限公司 | Commodity and searching order methods of exhibiting based on relation chain weight |
| CN111754271A (en) * | 2020-07-02 | 2020-10-09 | 重庆象先生电子商务有限公司 | Agricultural product sale operation method and system |
| CN113434719A (en) * | 2021-07-05 | 2021-09-24 | 汪冬梅 | Interactive learning system for preschool education |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1489886A (en) * | 2003-08-22 | 2004-04-21 | 中国农业科学院土壤肥料研究所 | Method for recommending crop fertilizing amount |
| CN1493050A (en) * | 2001-03-14 | 2004-04-28 | 本田技研工业株式会社 | System for recommending accessories for crops and farm tractors |
| CN101556603A (en) * | 2009-05-06 | 2009-10-14 | 北京航空航天大学 | Coordinate search method used for reordering search results |
| CN101604359A (en) * | 2009-07-20 | 2009-12-16 | 中国水稻研究所 | Rice nitrogen fertilizing recommending method using image method |
| CN102902691A (en) * | 2011-07-28 | 2013-01-30 | 上海拉手信息技术有限公司 | Recommending method and recommending system |
| CN102938124A (en) * | 2012-10-29 | 2013-02-20 | 北京京东世纪贸易有限公司 | Method and device for determining festival hot commodity |
| CN103136683A (en) * | 2011-11-24 | 2013-06-05 | 阿里巴巴集团控股有限公司 | Method and device for calculating product reference price and method and system for searching products |
| CN103337027A (en) * | 2013-06-20 | 2013-10-02 | 咸晓梦 | Clothing information pushing method and system |
| CN103617547A (en) * | 2013-12-04 | 2014-03-05 | 中国联合网络通信集团有限公司 | Service recommendation method and system |
| CN103957512A (en) * | 2014-04-02 | 2014-07-30 | 上海触乐信息科技有限公司 | A method, device and system for sending merchant promotion information to mobile terminals |
-
2015
- 2015-03-13 CN CN201510111426.9A patent/CN104680399A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1493050A (en) * | 2001-03-14 | 2004-04-28 | 本田技研工业株式会社 | System for recommending accessories for crops and farm tractors |
| CN1489886A (en) * | 2003-08-22 | 2004-04-21 | 中国农业科学院土壤肥料研究所 | Method for recommending crop fertilizing amount |
| CN101556603A (en) * | 2009-05-06 | 2009-10-14 | 北京航空航天大学 | Coordinate search method used for reordering search results |
| CN101604359A (en) * | 2009-07-20 | 2009-12-16 | 中国水稻研究所 | Rice nitrogen fertilizing recommending method using image method |
| CN102902691A (en) * | 2011-07-28 | 2013-01-30 | 上海拉手信息技术有限公司 | Recommending method and recommending system |
| CN103136683A (en) * | 2011-11-24 | 2013-06-05 | 阿里巴巴集团控股有限公司 | Method and device for calculating product reference price and method and system for searching products |
| CN102938124A (en) * | 2012-10-29 | 2013-02-20 | 北京京东世纪贸易有限公司 | Method and device for determining festival hot commodity |
| CN103337027A (en) * | 2013-06-20 | 2013-10-02 | 咸晓梦 | Clothing information pushing method and system |
| CN103617547A (en) * | 2013-12-04 | 2014-03-05 | 中国联合网络通信集团有限公司 | Service recommendation method and system |
| CN103957512A (en) * | 2014-04-02 | 2014-07-30 | 上海触乐信息科技有限公司 | A method, device and system for sending merchant promotion information to mobile terminals |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184618A (en) * | 2015-10-20 | 2015-12-23 | 广州唯品会信息科技有限公司 | Commodity individual recommendation method for new users and system |
| CN107133838A (en) * | 2017-03-22 | 2017-09-05 | 无锡中科富农物联科技有限公司 | A kind of Knowledge based engineering means of agricultural production Method of Commodity Recommendation |
| CN107239495A (en) * | 2017-04-28 | 2017-10-10 | 杭州集盒网络技术有限公司 | Commodity and searching order methods of exhibiting based on relation chain weight |
| CN111754271A (en) * | 2020-07-02 | 2020-10-09 | 重庆象先生电子商务有限公司 | Agricultural product sale operation method and system |
| CN113434719A (en) * | 2021-07-05 | 2021-09-24 | 汪冬梅 | Interactive learning system for preschool education |
| CN113434719B (en) * | 2021-07-05 | 2022-11-25 | 芜湖穿越信息科技有限公司 | Interactive learning system for preschool education |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Comparison of product bundling strategies on different online shopping behaviors | |
| CN104680399A (en) | Sale recommending method for agricultural material commodities | |
| CN102542490A (en) | Commodity recommendation method based on model matching | |
| Vandeplas et al. | Food quality in domestic markets of developing economies: A comparative study of two countries | |
| Setiawan et al. | Data mining applications for sales information system using market basket analysis on stationery company | |
| Wang et al. | Welfare impacts of increasing teff prices on Ethiopian consumers | |
| Darma et al. | Understanding market behavior on corn commodity: phenomenon at year end | |
| Warlina et al. | Designing website for online business in the agricultural sector | |
| Chiang et al. | An analytic hierarchy process approach to assessing consumers' distribution channel preference | |
| JP6543576B2 (en) | System and method for providing customized search results based on a user's shopping history, a retailer's identity and items promoted by the retailer | |
| Szerb et al. | Regional trade agreements, globalization, and global maize exports. | |
| Bouichou et al. | An hedonic evaluation of the impacts of vertical coordination on business performance amongst apple producers in Morocco | |
| Nadeak et al. | The effect of social media marketing, E-WOM, and store atmosphere on consumer purchasing decisions | |
| Meng et al. | Welfare analysis of introducing private label packaged salads into the US market | |
| Madhunimasha et al. | The Impact of Green Marketing Mix Strategies on Customer-Based Brand Equity in Green Hotels: Matale District in Sri Lanka | |
| Svubure et al. | Analysis of the potato (Solanum tuberosum L.) value chain in Zimbabwe | |
| Belete et al. | A stochastic frontier approach to technical efficiency and marketing of orange fleshed sweet potato (ofsp) at farm level: A case study of KwaZulu-Natal Province, South Africa | |
| Digal et al. | Retail demand estimation of organic rice and other rice variants in the Philippines and its implications to sustainability and self sufficiency | |
| Zaffou et al. | Consumer preference and willingness to pay for azaleas: Effect of state labeling and various types of retail outlets | |
| US20240232941A1 (en) | System and method for post transaction seasonal item recommendations | |
| Man et al. | Consumers’ Preference in Online Purchasing of Ornamental Plants in the Klang Valley, Malaysia | |
| Katukuri et al. | Post-purchase recommendations in large-scale online marketplaces | |
| Adegunsoye et al. | Gender differential in profitability of cultivating Scotch bonnet pepper | |
| Uyen | Evaluating the Selection Factors for Vietnamese Last-Mile Delivery Service Providers using Best Worst Method | |
| Sharma et al. | Developing Value Chain Map for Maize in Samastipur district Bihar-Methodological Approach |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150603 |