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An information core construction method based on clustering and a multi-arm gambling machine

A multi-armed gambling machine and clustering technology, applied in the field of information core construction, can solve the problems of long extraction time and large time consumption of information core, and achieve the effect of improving recommendation accuracy and efficiency

Active Publication Date: 2019-06-28
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it takes a lot of time to calculate the fitness of individuals in the population, resulting in too long time for extracting information core

Method used

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  • An information core construction method based on clustering and a multi-arm gambling machine
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  • An information core construction method based on clustering and a multi-arm gambling machine

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Embodiment Construction

[0041] The embodiments and effects of the present invention will be described in further detail below with reference to the accompanying drawings.

[0042] Reference figure 1 The implementation steps of the present invention are as follows.

[0043] Step 1. Construct user item rating matrix.

[0044] The rating information is extracted from the rating data set of the user's items, and the rating of the unrated item is represented by 0, and the rating of the item that has been rated is represented by the corresponding rating value to form a user item rating matrix:

[0045]

[0046] Among them, R represents the user item rating matrix, r ui Represents the rating of the u-th user on the i-th item, u is from 1 to z, z represents the number of users in the user item rating matrix, i is from 1 to n, and n represents the number of items in the user item rating matrix.

[0047] In the embodiment of the present invention, a user's rating data set for an item includes a MovieLens-100K rating da...

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Abstract

The invention discloses an information core construction method based on clustering and a multi-arm gambling machine, which mainly solves the problems of low recommendation precision and overlong information core extraction time in the prior art, and the implementation scheme comprises the following steps: 1) constructing a user article scoring matrix; 2) carrying out dimensionality reduction on the user article scoring matrix to obtain a low-dimensional matrix; 3) performing repeated clustering on the users in the low-dimensional matrix; 4) constructing a virtual user article scoring matrix according to a clustering result; 5) extracting an information core from the virtual user article scoring matrix by using the multi-arm gambling machine, and 6) recommending a required article to eachuser in the user article scoring matrix by using the extracted information core. The method has the advantages of high recommendation precision and high information core extraction speed, and can be used for recommending the required article to the user.

Description

Technical field [0001] The present invention belongs to the field of computer technology, and further relates to an information core construction method, which can be used to recommend required items for users. Background technique [0002] A recommendation system is an information filtering system that helps users filter out spam in massive data by analyzing users' historical behavior data, and recommends items they need. Recommendation algorithm, as the core of the recommendation system, determines the recommendation quality and application to a large extent. [0003] The paper "Uncovering the information core in recommender systems" (Journal on Scientific Reports, 2014) published by Zeng Wei et al. proposed a method for extracting information cores based on a heuristic strategy. The implementation steps of this method are: 1) Count the number of times each user appears in the neighbor list of other users; 2) Select users with more occurrences to form an information core; 3) Cal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
Inventor 慕彩红刘逸朱贤武刘若辰刘敬吴建设朱虎明侯彪
Owner XIDIAN UNIV
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