Method, system and recommendation server for pushing recommended items

A technology for recommendation items and servers, which is applied in transmission systems, devices for branch offices to provide special services, and data exchange details, etc. It can solve the problems of waste of recommendation resources and low success rate of recommendation items, so as to increase the probability of adoption and increase flexibility , the effect of improving the success rate

Active Publication Date: 2015-11-04
CHINA MOBILE COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a method, system and recommendation server for pushing recommended items, which are used to solve the problems of waste of recommended resources caused by existing push methods and low success rate of recommended items being adopted

Method used

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  • Method, system and recommendation server for pushing recommended items
  • Method, system and recommendation server for pushing recommended items
  • Method, system and recommendation server for pushing recommended items

Examples

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Embodiment Construction

[0027] The specific implementation manners of the method, system and recommendation server for pushing recommended items provided by the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0028] A method for pushing recommended items provided by an embodiment of the present invention, such as figure 1 As shown, the specific process includes the following steps:

[0029] S101. When it is determined that the operation of the current user triggers a recommendation event, obtain the friend list of the current user according to the identifier of the current user;

[0030] S102. Generate a list of candidate target users according to the current user's recommendation strategy for the current item to be recommended and each target user's receiving strategy for the current item to be recommended in the buddy list;

[0031] S103. Present the candidate target user list to the current user, and receive the target user lis...

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Abstract

The invention discloses a recommending method, a recommending system and a recommending server of a recommended item. When a recommending incident triggered by operation of a current user is confirmed, based on a recommending strategy of the current user on a to-be-recommended item and a receiving strategy of all target users in a friend list of the current user on the to-be-recommended item, a candidate target user list is generated. When the target user list which is confirmed and fed back by the current user based on the candidate target user list is received, the current to-be-recommended item is recommended to all the target users in the target user list. Regarding to the current user who sends the recommended item, recommendation of the recommended item to target users who are not likely to receive the item is reduced, recommending resources are saved, recommending flexibility of the current user is increased based on improvement of the success rate in reception of an item. Regarding to the target users who receive recommendation, items that are not attractive are prevented from being received, recommending resources are saved and the reception rate of the current to-be-recommended item is improved.

Description

technical field [0001] The invention relates to the field of business support, in particular to a method, system and recommendation server for pushing recommended items. Background technique [0002] With the rise of e-commerce and social media sites, recommendation technology has been widely used in many popular applications such as Taobao, Douban, Google News, Amazon, and Dianping.com. Traditional recommendation systems are mainly divided into two categories: content-based recommendation systems and collaborative filtering systems. In a content-based recommendation system, the input data is processed as individual user profiles, and each user profile is generally represented as a feature vector, and the recommendation candidate information is similarly processed, and then the similarity with the target user's profile is performed Calculated, the candidate information closest to the user profile is pushed to the user as a recommended item. In a collaborative filtering sys...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/18H04L29/08
Inventor 陈肃陶振武胡可云
Owner CHINA MOBILE COMM GRP CO LTD
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