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Information recommending method, recommending engine and network system

一种信息推荐、推荐引擎的技术，应用在信息领域，能够解决针对性不强等问题

Inactive Publication Date: 2012-01-11
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] It can be seen that the recommendation information generated based on statistical methods in the prior art is not very specific to each individual user

Method used

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  • Information recommending method, recommending engine and network system
  • Information recommending method, recommending engine and network system
  • Information recommending method, recommending engine and network system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] The information recommendation method provided by the embodiment of the present invention, such as figure 2 shown, including:

[0042] 201. Obtain the user's friend list from a data source with social relations;

[0043] 202. Obtain behavior records of friends in the user's friend list from the user behavior database;

[0044] 203. Generate recommendation information matching the user's current behavior according to the behavior records of friends in the user's friend list and the user's current behavior information;

[0045] 204. Send the recommendation information to the application website.

[0046] By adopting the above technical solution, when recommending information to the user, the recommended information can be generated based on the social relationship and the behavior records of the user's friends; the recommended information generated according to the behavior records of the user's friends is more targeted and can enhance user experience.

Embodiment 2

[0048] The specific form of the recommendation engine provided by the embodiment of the present invention may be a server, such as image 3 As shown, it includes: a friend list acquisition unit 301 , a friend behavior record acquisition unit 302 , a recommendation information generation unit 303 , and a recommendation information sending unit 304 . in:

[0049] The buddy list obtaining unit 301 is configured to obtain a user's buddy list from a data source with a social relationship; in this embodiment, the data source with a social relationship may specifically be a social networking site or the like.

[0050] A friend behavior record acquisition unit 302, configured to acquire the behavior records of friends in the user's friend list from the user behavior database;

[0051] A recommendation information generation unit 303, configured to generate recommendation information matching the user's current behavior according to the behavior records of friends in the user's friend...

Embodiment 3

[0055] The network system provided by the embodiment of the present invention, such as Figure 4 As shown, it includes: an application website 401 , a recommendation engine 402 , a data source 403 with social relationships, and a user behavior database 404 .

[0056] The application website 401 is configured to receive the recommendation information sent by the recommendation engine after sending a request message for obtaining recommendation information to the recommendation engine, and display the recommendation information to the user.

[0057]The recommendation engine 402 is used to obtain the user's friend list from a data source with social relations; obtain the behavior records of the friends in the user's friend list from the user behavior database; according to the behavior records of the friends in the user's friend list and the current behavior of the user generate recommendation information matching the user's current behavior; and send the recommendation informati...

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PUM

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Abstract

This invention discloses an information recommending method, recommending engine and network system. The method includes: obtaining a friend list of a user from the data source that relates to social relationships; obtaining behavior records of the a friend list of a user from the database of user behavior records; generating recommendation information that matches the current behavior of the user according to the behavior records of the friends of the user as well as his current behavior information; sending the recommendation information to the website. By using this invention, the recommendation information can be generated based on the social relationship of the user and the behavior records of the friends of the user. The recommendation information that based on the behavior records of the friends of the user is more targeted so as to enhance the experience of the user.

Description

technical field [0001] The invention relates to the field of information technology, in particular to an information recommendation method, a recommendation engine and a network system. Background technique [0002] The rapid development of Internet technology has brought people into the era of information explosion. While bringing people rich information, it also greatly increases the difficulty for users to find the information they are interested in, leading to the problem of information overload. Recommendation technology is one of the important methods to solve information overload. The recommendation system generally refers to any system that provides personalized recommendations or guides users to find interesting and useful information in a personalized way. It solves the problem of evaluating products that they have never seen before instead of users. , restaurants, music, pictures, merchandise, and more. [0003] At present, when generating recommendation informa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06Q30/02G06Q30/0255H04L67/535
Inventor 邓蓉
Owner HUAWEI TECH CO LTD
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