CN103345693A - On-line client or product recommendation method - Google Patents
On-line client or product recommendation method Download PDFInfo
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- CN103345693A CN103345693A CN201310197725XA CN201310197725A CN103345693A CN 103345693 A CN103345693 A CN 103345693A CN 201310197725X A CN201310197725X A CN 201310197725XA CN 201310197725 A CN201310197725 A CN 201310197725A CN 103345693 A CN103345693 A CN 103345693A
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Abstract
Disclosed in the invention is an on-line client or product recommendation method. The method is characterized in that the method comprises the following steps that: a user carry out registration at an electronic commerce network platform to obtain a user name and a password; the user logs in the electronic commerce network platform and applies for client loading; the electronic commerce network platform generates a client ID according to the user name, the password, and registration information, thereby further generating a client program for user terminal installation according to the generated client ID; when the client makes conversation with a server, the client monitors the user to carry out interaction with the client running at a computer device and determines a situation of conversation browsing of the user at the client according to a picture material loaded by the client; according to the situation of conversation browsing, the client calculates the quantity of all the picture materials at each product of each type in the conversation browsing situation and carries out sorting to generate a product or a client profile of a user corresponding to the client ID, and uploads the information to the electronic commerce network platform; and the electronic commerce network platform extracts a former or more than one product type from the user product or the client profile, carries out searching in a product database to generate a product list, and carries out recommendation for the user after filtering.
Description
Technical field
The present invention relates to data processing technique, particularly relate to a kind of client or On-line Product recommend method.
Background technology
Ecommerce and platform are extensive in internet, applications.Shopping at network has become fashion, and is accepted extensively by people.Because networking products information is huge, and true and false difficult the branch, domestic consumer is difficult in and finds quality good on the e-commerce platform, the product that cost performance is high.Existing relevance algorithms itself is bigger to system resources consumption, and, to all products all need to carry out and other products between the calculating of incidence relation, handled data volume is big, speed is slower, and is especially under the situation of mass users, magnanimity product, magnanimity visit data, slow for the processing speed of data, and resource consumption is even more serious, thereby is difficult to satisfy the promptness requirement of commending system.
Chinese patent application, a kind of recommend method of product information and system, application number 201010273633.1 discloses a kind of recommend method and system of product information, and described method comprises: pre-determine user's recommended products collection and/or the recommended products collection of product; Obtain first user's network operation, determine the Products Show type according to first user's network operation; According to the Products Show type of determining, concentrate the product information of determining to be required to be following of the Products Show type of correspondence first user recommendation from the recommended products of first product of first user's recommended products collection and/or described network operation association.
Summary of the invention
Purpose of the present invention discloses that a kind of to overcome prior art part not enough, does not need complicated algorithm, is different from existing client or On-line Product suggested design simultaneously, and it can accurately carry out product and lead referral according to user behavior.
A kind of client or On-line Product recommend method is characterized in that, comprising:
The user obtains username and password in the registration of electronic commerce network platform; Land the electronic commerce network platform, the application download client.The electronic commerce network platform generates client id according to its user name, password and log-on message, and then according to established client id, generates client-side program and install for user terminal;
During client and server session, client monitors user with just operating in the mutual of client on the computing equipment, according to the picture materials that client has loaded, determine that the user is in the situation of the browsing session of client;
Client is calculated these all picture materials of browsing session situation in the quantity of each each classification of product and ordering according to the situation of browsing session, forms the user's corresponding with this client id product or client's profile, and uploads to the electronic commerce network platform;
The electronic commerce network platform extracts user's product or the interior previous or more than one product category of client's profile, retrieves in product database, forms the product inventory;
The quality index of product or product or the client that businessman's credit worthiness is lower than lowest limit in the product filtering module of electronic commerce network platform, filtering product inventory determine and need recommend institute's product to the user;
Dynamically be incorporated into the main interface that appears at client or by in the web page in the browser that client triggered to the summary info of user institute recommended products, corresponding picture materials;
Recommended engine in client or the browser is assisted the interface display of recommended products, wherein dynamically customizes quantity and picture quality to shown product based on the configuration of the situation that is provided by the page and user's computing equipment.
Further, said method also comprises: the electronic commerce network platform is set up product and picture materials database, picture materials in all electronic commerce network Platform Servers is carried out the filename coding according to product/client segmentation table, and concentrate in the database according to the classification of product/client segmentation table, the picture materials of same category is stored in the same file folder.
Further, when definite recommended products quantity relevant with described situation is less than lowest limit, the product that does not meet product quality and businessman's credit worthiness is added into recommended products inventory and demonstration simultaneously, notify that described user is described not to meet product quality and businessman's credit worthiness does not reach the regulation degrees of comparison, there is risk in transaction.
In sum, method of the present invention has following distinguishing feature and progress:
1), monitoring be the picture materials that subscription client has loaded from the electronic commerce network platform, and judge the situation of browsing session; Do not need complicated algorithm, according to the coding techniques of picture materials, can carry out product or lead referral accurately simultaneously;
2), client id has unique identity and indicates, i.e. client id, and related with user name, password and log-on message, as long as running client, the user needn't land, and namely can carry out product or client's automatic recommendation;
3), the monitoring behavior undertaken by client self, but not the platform Centralized Monitoring effectively reduces the load of electronic commerce network platform;
4), product or client's profile, product inventory and filtration, picture materials are dynamically incorporated into, recommended engine dynamically customizes technological means combinations such as the quantity of shown product and picture qualities based on the configuration of the situation that is provided by the page and user's computing equipment, realize precisely recommending, guarantee the quality that shows simultaneously.
Description of drawings
Fig. 1 is the network structure example under the application's application scenarios;
Fig. 2 is picture materials coding and differentiated control synoptic diagram;
Fig. 3 is Products Show method flow synoptic diagram.
Embodiment
For making purpose of the present invention, technical scheme and advantage clearer, below with reference to accompanying drawing and enumerate preferred embodiment, the present invention is described in more detail.Yet, need to prove that many details of listing in the instructions only are in order to make the reader to one or more aspects of the present invention a thorough understanding be arranged, even if there are not these specific details also can realize technical scheme of the present invention.The application employed " system ", " platform ", " module " are not limited to hardware, firmware, combination thereof, software or executory software.
Below, be described with reference to the accompanying drawings the realization of the application client or On-line Product recommend method.
In the network structure shown in Fig. 1, the user realizes that by communicating between client and electronic commerce network platform and the server server is to the product information of client recommendation user institute product of interest; And, realize the product remote transaction.In actual applications, a plurality of users may be arranged respectively by different client-access servers.Accordingly, server need return the product information of recommending respective user according to the feedback of client to the client at specific user place.
As shown in Figure 3, the inventive method is carried out following steps:
S101, electronic commerce network platform are set up product or picture materials database, the picture materials that is about in all electronic commerce network Platform Servers carries out the filename coding according to product/client segmentation table, and concentrate in the database according to the classification of product/client segmentation table, the picture materials of same category is stored in the same file folder.With reference to figure 2, in the product classification table, be divided into some big classes, big class comprises some groups; Comprise some products or client under the group; The corresponding some keywords of each product or client.Each big class, group, product/client, the corresponding file of keyword.As example and without limitation, if big class is numbered 012, group is numbered 012113; Production code member is 012113001; Keyword is numbered 01211300119; Picture materials file 01211300119XXXXXX.JPG by name under this key word file folder.Folder Name is consistent with numbering.
The exclusive client of S102, band ID generates and installs, and the user obtains username and password in the registration of electronic commerce network platform, lands the electronic commerce network platform, the application download client.The electronic commerce network platform generates client id according to its user name, password and log-on message, and then according to established client id, generates client-side program and install for user terminal.
S103, user start mounted client; During client and server session, client monitors user with just operating in the mutual of client on the computing equipment, according to the picture materials that client has loaded, determine that the user is in the situation of the browsing session of client.
S104, client calculate these all picture materials of browsing session situation in the quantity of each each classification of product and ordering according to the situation of browsing session, form the user's corresponding with this client id product or client's profile.Client uploads to the electronic commerce network platform with the user's of this client id correspondence product or client's profile.
S105, according to profile, form the product inventory, the electronic commerce network platform extracts previous or more than one product category in user's product or the client's profile, retrieves in product database, forms the product inventory; Product database can be that the electronic commerce network platform is local product database, also can be the product database of all kinds of platforms that dock with it.
S106, filtering product, determine and to recommend institute's product or client to the user, the quality index of product or product or the client that businessman's credit worthiness is lower than lowest limit in the product filtering module of electronic commerce network platform, filtering product inventory determine and need recommend institute's product to the user.In the preferred version, when definite recommended products quantity relevant with described situation is less than lowest limit, the product that does not meet product quality and businessman's credit worthiness is added into recommended products inventory and demonstration simultaneously, notify that described user is described not to meet product quality and businessman's credit worthiness does not reach the regulation degrees of comparison, there is risk in transaction.
S107, dynamically be incorporated into the main interface that appears at client or by in the web page in the browser that client triggered to the summary info of user institute recommended products, corresponding picture materials.Whether the browser that the judgement of electronic commerce network platform is obtained product/client to its transmission is the browser of having authorized, if and described browser is not the browser of authorizing, then IE browser and the static schema with standard shows, do not send product information and the picture materials recommended.Whether judge described is the client with unique identify label that is generated by the electronic commerce network platform by client id, if not, then forward the static page recto to, stop Products Show.
Recommended engine in S108, client or the browser is assisted the interface display of recommended products, wherein dynamically customizes quantity and picture quality to shown product based on the configuration of the situation that is provided by the page and user's computing equipment.
The above only is the application's preferred implementation; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the application's principle; can also make some improvements and modifications, these improvements and modifications also should be considered as the application's protection domain.
Claims (5)
1. a client or On-line Product recommend method is characterized in that, comprising:
The user obtains username and password in the registration of electronic commerce network platform; Landing the electronic commerce network platform, the application download client. the electronic commerce network platform generates client id according to its user name, password and log-on message, and then according to established client id, generates client-side program and install for user terminal;
During client and server session, client monitors user with just operating in the mutual of client on the computing equipment, according to the picture materials that client has loaded, determine that the user is in the situation of the browsing session of client;
Client is calculated these all picture materials of browsing session situation in the quantity of each each classification of product and ordering according to the situation of browsing session, forms the user's corresponding with this client id product or client's profile, and uploads to the electronic commerce network platform;
The electronic commerce network platform extracts user's product or the interior previous or more than one product category of client's profile, retrieves in product database, forms the product inventory;
The quality index of product or product or the client that businessman's credit worthiness is lower than lowest limit in the product filtering module of electronic commerce network platform, filtering product inventory determine and need recommend institute's product to the user;
Dynamically be incorporated into the main interface that appears at client or by in the web page in the browser that client triggered to the summary info of user institute recommended products, corresponding picture materials;
Recommended engine in client or the browser is assisted the interface display of recommended products, wherein dynamically customizes quantity and picture quality to shown product based on the configuration of the situation that is provided by the page and user's computing equipment.
2. client as claimed in claim 1 or On-line Product recommend method, it is characterized in that, also comprise: the electronic commerce network platform is set up product and picture materials database, picture materials in all electronic commerce network Platform Servers is carried out the filename coding according to product/client segmentation table, and concentrate in the database according to the classification of product/client segmentation table, the picture materials of same category is stored in the same file folder.
3. as the arbitrary described client of claim 1 to 2 or On-line Product recommend method, it is characterized in that, also comprise when definite recommended products quantity relevant with described situation is less than lowest limit, the product that does not meet product quality and businessman's credit worthiness is added into recommended products inventory and demonstration simultaneously, notify that described user is described not to meet product quality and businessman's credit worthiness does not reach the regulation degrees of comparison, there is risk in transaction.
4. as the arbitrary described client of claim 1 to 2 or On-line Product recommend method, it is characterized in that, comprise also whether the browser that the judgement of electronic commerce network platform is obtained product/client to its transmission is the browser of having authorized, if and described browser is not the browser of authorizing, then IE browser and the static schema of standard show, do not send product information and the picture materials recommended.
5. as the arbitrary described client of claim 1 to 2 or On-line Product recommend method, it is characterized in that comprise also whether judge described is the client with unique identify label that is generated by the electronic commerce network platform by client id, if not, then forward the static page recto to, stop Products Show.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310197725XA CN103345693A (en) | 2013-05-25 | 2013-05-25 | On-line client or product recommendation method |
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| CN201310197725XA CN103345693A (en) | 2013-05-25 | 2013-05-25 | On-line client or product recommendation method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104144209A (en) * | 2014-07-08 | 2014-11-12 | 深圳市赛亿科技开发有限公司 | Internet-of-Things product communication method |
| CN107730318A (en) * | 2017-10-30 | 2018-02-23 | 厦门二五八网络科技集团股份有限公司 | Smart client recommends platform and its recommends method |
| CN110622186A (en) * | 2017-04-13 | 2019-12-27 | 维萨国际服务协会 | Computer-implemented method and system for intelligent device product segmentation and communication |
| CN110807116A (en) * | 2018-07-20 | 2020-02-18 | 北京搜狗科技发展有限公司 | Data processing method and device and data processing device |
| CN111369303A (en) * | 2020-04-07 | 2020-07-03 | 贵州轻工职业技术学院 | E-commerce promotion system based on cloud computing |
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| US20100268661A1 (en) * | 2009-04-20 | 2010-10-21 | 4-Tell, Inc | Recommendation Systems |
| CN102004994A (en) * | 2010-11-10 | 2011-04-06 | 陈勇 | Online product recommendation and selection method, device and system |
| CN102385601A (en) * | 2010-09-03 | 2012-03-21 | 阿里巴巴集团控股有限公司 | Product information recommendation method and system |
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- 2013-05-25 CN CN201310197725XA patent/CN103345693A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100268661A1 (en) * | 2009-04-20 | 2010-10-21 | 4-Tell, Inc | Recommendation Systems |
| CN102385601A (en) * | 2010-09-03 | 2012-03-21 | 阿里巴巴集团控股有限公司 | Product information recommendation method and system |
| CN102004994A (en) * | 2010-11-10 | 2011-04-06 | 陈勇 | Online product recommendation and selection method, device and system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104144209A (en) * | 2014-07-08 | 2014-11-12 | 深圳市赛亿科技开发有限公司 | Internet-of-Things product communication method |
| CN110622186A (en) * | 2017-04-13 | 2019-12-27 | 维萨国际服务协会 | Computer-implemented method and system for intelligent device product segmentation and communication |
| US11803895B2 (en) | 2017-04-13 | 2023-10-31 | Visa International Service Association | Computer-implemented method and system for smart appliance product segmentation and communication |
| CN107730318A (en) * | 2017-10-30 | 2018-02-23 | 厦门二五八网络科技集团股份有限公司 | Smart client recommends platform and its recommends method |
| CN110807116A (en) * | 2018-07-20 | 2020-02-18 | 北京搜狗科技发展有限公司 | Data processing method and device and data processing device |
| CN110807116B (en) * | 2018-07-20 | 2024-03-22 | 北京搜狗科技发展有限公司 | Data processing method and device for data processing |
| CN111369303A (en) * | 2020-04-07 | 2020-07-03 | 贵州轻工职业技术学院 | E-commerce promotion system based on cloud computing |
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Application publication date: 20131009 |