A recommendation method integrated with a curiosity mechanism of a user

A recommendation method and curiosity technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as user resistance

Active Publication Date: 2019-05-21
SOUTH CHINA UNIV OF TECH
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  • Application Information

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Problems solved by technology

However, in the actual application scenario, if too many items similar to the histo

Method used

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  • A recommendation method integrated with a curiosity mechanism of a user
  • A recommendation method integrated with a curiosity mechanism of a user
  • A recommendation method integrated with a curiosity mechanism of a user

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Embodiment Construction

[0060] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0061] A recommendation method that incorporates user curiosity mechanisms, such as figure 1 shown, including the following steps:

[0062] Step 1: In the user data without friend relationship, use the k-nearest neighbor algorithm to find implicit friends. In the historical data of each user, for implicit or explicit friends, use the Pearson correlation coefficient to calculate the user and friend The similarity between each user's friends is sorted from large to small according to the similarity.

[0063] Each user data can be composed of (u, i, r, t) tuples, that is, user u scores r for item i at time t, and U and I refer to the collection of users and items respectively. |U|=m, |I|=n represent the number of users and items in the data set, respectively.

[0064] St...

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Abstract

The invention discloses a recommendation method integrated with a curiosity mechanism of a user, which comprises the following steps of: calculating novelty and conflict degree according to historicalrecords, then obtaining stimulation degree through weighted summation, and training respective wundt curve of each user according to a stimulation degree list of the historical records; performing Learning by using an accuracy-based recommendation method to obtain a relevancy list; Calculating curiosity of the article to the user according to the von special curve, and performing sorting to obtain a curiosity list of each user; And finally, sorting the two lists by using a borda count method.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to a recommendation method incorporating a user curiosity mechanism. Background technique [0002] With the development of the Internet, the Internet generates a large amount of data all the time, and most of these data are messy and disorderly. It is difficult for users to directly extract the information they want from these data. This problem is the problem of information overload. . This is a question of concern to the whole world. After years of research, the technology to extract important information from these information has gradually matured, and one of the most important technologies is the personalized recommendation technology. Personalized recommendation technology can recommend information that the user is interested in to each user through the user's interests, characteristics, and historical records. Personalized recommendation technology play...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
Inventor 许可莫俊文闵华清蔡毅
Owner SOUTH CHINA UNIV OF TECH
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