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Mobile game recommendation system based on 3D time-series dynamic model

A dynamic model and mobile game technology, which is applied in the fields of instruments, computing, and electronic digital data processing, etc., can solve the problems of high loss rate of game users, increase of enterprise promotion costs, user troubles, etc.

Active Publication Date: 2019-05-14
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Blind recommendation results will bring troubles to users and increase the promotion costs of enterprises, which makes the loss rate of game users on the current game operation platform very high

Method used

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  • Mobile game recommendation system based on 3D time-series dynamic model
  • Mobile game recommendation system based on 3D time-series dynamic model
  • Mobile game recommendation system based on 3D time-series dynamic model

Examples

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with specific examples.

[0048] Such as figure 1 As shown, the mobile game recommendation system based on the three-dimensional time series dynamic model described in this embodiment includes a user behavior data acquisition module, a game information acquisition module, a user behavior analysis module, a game tag module, a time series dynamic model module, and a game recommendation module. The user behavior data acquisition module obtains user behavior logs from relevant game operation platforms; the game information acquisition module crawls and preprocesses the game profile information through the official website of the corresponding mobile game recommendation platform; After the user behavior analysis module imports the user behavior log, it performs data analysis and data vectorization on the log to form the user's feature vector; the game label module performs corresponding game label labeling ...

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Abstract

The invention discloses a three-dimensional time sequence dynamic model based mobile phone game recommendation system. The system comprises a user behavior data acquisition module, a game information acquisition module, a user behavior analysis module, a game label module, a time sequence dynamic model module and a game recommendation module. According to the system, a dynamic user behavior is analyzed according to acquired user behavior data and the interest changes of new and old users are tracked; when the user interests are changed or possibly run away, games with relatively high similarity with user interested games and the game popularity are comprehensively considered and optimal recommendation results are given to the users; in combination with the timeliness of the games and the users, a time window based user activeness score computing method is established; and game labels are introduced for performing corresponding mapping on the users, so that the diversity of game recommendation is enriched, the users can feel game recommendation with continuous new element changes, and the novelty of game recommendation is enhanced.

Description

technical field [0001] The invention relates to the technical field of product recommendation, in particular to a mobile game recommendation system based on a three-dimensional time series dynamic model. Background technique [0002] With the advent of the era of big data and the increasing popularity of mobile games, mobile game users have shown explosive growth. Game operation platforms generally recommend popular games to users directly, and do not make full use of user information to make targeted personalized recommendations. Blind recommendation results will bring troubles to users and increase the promotion costs of enterprises, which makes the loss rate of game users on the current game operation platform very high. The mobile game operation platform is highly competitive, how to attract new users and retain old users of the platform is the core issue of the game operation platform. Therefore, it is of great significance to analyze user behavior in combination with...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/9536
CPCG06F16/9535
Inventor 董守斌王进董守玲胡金龙张晶
Owner SOUTH CHINA UNIV OF TECH
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