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Collaborative recommendation method based on user cognition degree changes

A recommendation method and awareness technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as ignoring the user awareness extraction process

Inactive Publication Date: 2017-01-04
SOUTH CHINA NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] At present, context-aware recommendation systems mainly focus on the process of how to generate recommendations, while ignoring the extraction process of user awareness

Method used

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  • Collaborative recommendation method based on user cognition degree changes
  • Collaborative recommendation method based on user cognition degree changes
  • Collaborative recommendation method based on user cognition degree changes

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Embodiment Construction

[0017] 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 specific embodiments and with reference to the accompanying drawings.

[0018] The present invention draws on the concept of psychological cognition, intends to carry out two changes to the original RMF recommendation algorithm, namely: (1) from four aspects of user's historical behavior, user's occupation, user's gender and user's age to provide user Model the awareness of different item types; (2) In order to simulate the change trend of user preference and awareness, the Ebbinghaus forgetting curve in psychology is used as the prototype of the time function and a step is made Modification, used to track and learn the dynamic changes of users.

[0019] like figure 1 As shown, the method includes the following steps:

[0020] Step 101: Obtain training set D T Data, the impact information ...

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Abstract

The invention relates to a collaborative recommendation method based on user cognition degree changes. The method comprises the steps that firstly, an RMF model is used for decomposing a user-project scoring matrix into a user feature matrix and a project feature matrix, a time attenuation function based on a psychological memory-forgetting curve is introduced, and attenuation of different degrees is given to scores given by the user at different periods of time; secondly, four aspects including user historic behaviors, the user age, occupation and sex for influences on the user cognition degree are considered, and a factor model is used for performing modeling of the four factors affecting the cognition degree on the RMF model so as to overcome defects in a traditional method. The collaborative recommendation method (CogTime_RMF) based on user cognition degree changes can construct user cognition degree changes from the multiple factors such as age, occupation, sex and historic behaviors, the cognition degree changes are integrated into the recommended scheme, and the recommending accuracy can be improved while the problem of cold boot of the user can be solved.

Description

technical field [0001] The invention relates to a personalized recommendation system technology, in particular to a collaborative recommendation method based on changes in user awareness. Background technique [0002] With the emergence of big data and the popularization of social networks, the problem of "information overload" or "information trek" is becoming more and more serious. The recommendation system is considered to be one of the most effective tools to solve this problem. Logs, historical scoring records, and project information are analyzed to mine user preferences and project characteristics, and then realize personal customization of personal interest information for users, and timely adjust recommended content according to changes in user needs and project information and service methods to achieve "user-centered" personalized services, such as Amazon's product recommendation system, YouTube's video recommendation system, and Douban's music rating recommendati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9535G06F18/214
Inventor 陈洁敏汤庸李建国李丁丁
Owner SOUTH CHINA NORMAL UNIVERSITY
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