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Method and device for recommending information

An information recommendation and field technology, applied in the network field, can solve the problem of poor universality of recommendation methods, and achieve the effect of improving universal applicability

Inactive Publication Date: 2017-06-13
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing cross-domain recommendation methods are based on an assumption that user behaviors between domains are consistent or similar, but this assumption is not true in most cases, making the existing cross-domain recommendation methods universal Poor sex

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  • Method and device for recommending information
  • Method and device for recommending information

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] see figure 1 , figure 1 An implementation flowchart of the information recommendation method provided for the implementation of the present invention may include:

[0048] Step S11: Obtain a first matrix in the first field, the first matrix is ​​used to represent the first ratings of each user on the first category of items used in the first field;

[0049]For each field, there is a "user-item-score" matrix, which can be used for modeling information ...

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Abstract

The embodiment of the invention discloses a method and device for recommending information. Scores of users on second-class items in a second domain are normalized, through the normalized score of the users on the second-class items, a matrix used for representing first scores of first-class items used in the first domain is expanded, the expanded matrix is used for constructing an information recommendation model, items are recommended to the users through the information recommendation mode, and cross-domain recommendation is achieved. Moreover, the matrix used for constructing the information recommendation model is obtained by expanding behavior feature data (namely the scores of the users on the second-class items) of the users in the second domain, in other words, difference of behavior features of the users is fused into the constructed information recommendation model, and therefore the high applicability of the cross-domain method for recommendation is improved.

Description

technical field [0001] The present invention relates to the field of network technology, and more specifically, to an information recommendation method and device. Background technique [0002] With the development of the mobile Internet, the volume of data has also grown exponentially. The integration and sharing of data has become a new development direction. These have led the recommendation system into a new stage of development, and the recommendation system has begun to develop from the success of a single field to the information sharing across fields. [0003] Cross-domain recommendation is a method of extending data or knowledge from several domains to the target domain and performing personalized recommendations in the target domain. For example, users have watched a lot of movies on video website A. When these users browse music website B, the behavior data or characteristics of these users on website A can be used to recommend music to users in combination with...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/435G06F16/9535
Inventor 姜立宇
Owner NEUSOFT CORP
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