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User score-based project recommendation method

A technology for project recommendation and user application, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve the problems of reduced dynamic adaptability of recommendation results, etc.

Inactive Publication Date: 2016-07-06
GUILIN UNIV OF ELECTRONIC TECH
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AI Technical Summary

Problems solved by technology

When the user's real information needs change with the effects of these potential scenarios, if the system cannot discover and perceive the changes in demand patterns and make new recommendation strategies, then the dynamic adaptability of the system recommendation results will be reduced

Method used

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  • User score-based project recommendation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0098] A movie recommendation method based on user ratings, see Figure 4-7 .

[0099] The data set contains 100,000 rating records and corresponding behavior time of 943 users on 1682 movies, and each user has at least 20 behavior records, and their ratings range from 1 to 5. The rating matrix density for users and movies is:

[0100] Parameter estimation:

[0101] For the sake of simplicity, in this embodiment, α=50 / K and β=0.01 are used as default values ​​for α and β, and the default number of iterations is L=500.

[0102] Such as Figure 4 Shown describes the impact of the balance factor λ on the recommendation accuracy when the data set is divided into 8:2 training set and test set, where the accuracy (Precision) is defined as in the Top-N recommendation list, the true The proportion of items that were correctly recommended. The calculation formula is shown in formula (15):

[0103] Pr e c i s ...

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Abstract

The invention discloses a user score-based project recommendation method. The method comprises the following steps: in allusion to the dynamism and diversity of interests of a user in a recommendation system, effectively fusing a maintenance dose function on the basis of the sores of user projects and completing the global learning of potential interests of the user by adopting a probability topic model according to the global influences, on the interests of the user, of the time factors; and in allusion to the sensitivity, for potential scenario change, of the learning process, user personalization-oriented secondary updating learning is carried out on the interests on the basis of a concept drift problem according to the local influences, on the potential interests of the user, of the time factors; and finally calculating the degrees of supporting the projects by the user through analyzing the interests of the user, and carrying out sorting to generate a project recommendation list. According to the method, the influences, caused by the recommendation performance, of the concept drift problem can be effectively avoided and the whole recommendation quality of the system can be improved under the condition of sufficiently mining the potential interests of the user.

Description

technical field [0001] The invention relates to a network recommendation method, in particular to a recommendation method based on user scoring data of time series information. Background technique [0002] With the development of the new Internet service model of Web2.0, users have gradually changed from passive roles in information groups to subjects in network activities. That is to say, when users receive network information, they also publish and disseminate information. This mode is just the embodiment of the Internet's transition to a many-to-many service form. At the same time, stimulated by the strong information demand of Internet users, information service companies also continuously provide users with massive information resources to improve user satisfaction. Faced with massive information resources, it is difficult for users to effectively extract the resources they need from a large amount of information under artificial conditions. It is also difficult for ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 邓珍荣朱益立邓星
Owner GUILIN UNIV OF ELECTRONIC TECH
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