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Method and device for adjusting recommendation lists

A technology for recommending lists and adjusting methods, which is applied in the field of information processing, can solve the problems of severe data sparseness and insufficient data, and achieve the effects of improving accuracy, improving accuracy, and increasing adjustment speed

Active Publication Date: 2014-03-26
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the first two fields, the mobile application market has received less attention, and there are not many research results on user behavior characteristics, and the problem of data sparseness is more serious

Method used

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  • Method and device for adjusting recommendation lists
  • Method and device for adjusting recommendation lists
  • Method and device for adjusting recommendation lists

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Embodiment Construction

[0054] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0055] The object of this application is to provide a recommendation list adjustment method and device for a recommendation system in the mobile application market on the basis of existing recommendation algorithms, which can serve the existing recommendation system algorithms with little increase in Under the premise of the extra burden of the recommendation system, the recommendation results should be as consistent as possible with the user's interests.

[0056] First of all, the definitions of the technical terms involved in this application are as follows:

[0057] Information: In the field of recommendation systems, the recommended information can be books, products, news, smart terminal applications, etc. that users are interested in.

[0058] Mobile applic...

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Abstract

An embodiment of the invention provides a method and a device for adjusting recommendation lists. The method includes acquiring application download history records of users, computing proportions of game application and non-game application to total downloaded application of the users within a set time on the basis of the application download history records so as to acquire game application preference indexes and non-game application preference indexes, and generating redundancy recommendation lists for the users; adjusting the redundancy recommendation lists on the basis of the computed game application preference indexes and the computed non-game application preference indexes to form final recommendation lists; displaying the final recommendation lists for the users. Distribution of game application and non-game application in the final recommendation lists keeps corresponding to the game application preference indexes and the non-game application preference indexes of the users. The method and the device have the advantage that personalized recommendation can be carried out by the aid of the recommendation lists according to difference of interest and preference of the different users.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of information processing, and more specifically, to a method and device for adjusting a recommendation list. Background technique [0002] In recent years, with the popularization of mobile terminals such as smartphones and tablet computers, the mobile Internet has become a user-friendly media. The mobile phone is no longer just a terminal for basic communication and information transmission, but has become an entertainment application terminal that people carry with them. This change has given birth to a huge mobile application market industry. For example, the famous "Angry Birds" is one of the most popular games in mobile games. Figure 1 In this way, it has almost become a standard configuration for many smartphone users. [0003] At the same time, users' consumption patterns, consumption habits and consumption behaviors are all changing accordingly: PC users and smart phone u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/907
Inventor 崔毅东陈莉萍梁康杨谈李菁雷友珣漆涛金跃辉周斯达
Owner BEIJING UNIV OF POSTS & TELECOMM
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