Multisource heterogeneous information-fused personalized recommendation method and system

A recommendation method, multi-source heterogeneous technology, applied in the field of data processing, can solve the problem of users feeling irritable and bored, achieve the effect of alleviating the problem of data dilution, improving the user-friendly experience, and alleviating the problem of cold start

Inactive Publication Date: 2018-09-28
SUN YAT SEN UNIV +1
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The existing recommendation technology recommends multiple items with high similarity to a certain item to users through technical means such as item similarity. Or after using it once, when it will not be purchased or used again for a long time, using such a recommendation method will make the user feel irritable and bored, so it is necessary to formulate a corresponding personalized recommendation method according to the actual situation of the user to recommend to the user corresponding item

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  • Multisource heterogeneous information-fused personalized recommendation method and system
  • Multisource heterogeneous information-fused personalized recommendation method and system
  • Multisource heterogeneous information-fused personalized recommendation method and system

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Embodiment Construction

[0041] 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 creative efforts fall within the protection scope of the present invention.

[0042] When users face a large number of commodities on the e-commerce platform, the personalized recommendation method can well solve the problem of information overload and fully tap long-tail information; at the same time, this method is in the initial stage of platform construction, when the number of users is significantly less than the amount of commodities , which can effectively fuse user feature information for recommendation and alleviate the user cold sta...

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Abstract

The invention discloses a multisource heterogeneous information-fused personalized recommendation method and system. The personalized recommendation method comprises the following steps of: acquiringuser behavior record information and storing the user behavior record information into a database, wherein the user behavior record information comprises but is not limited to various behaviors, for projects, of users, and occurrence times and places of the behaviors; carrying out linear weighting conversion on the behaviors, for the projects, of the users according to different weights, so as toobtain implicit feedback, for the projects, of the users; carrying out interaction matrix construction according to the implicit feedback, for the projects, of the users so as to obtain a user-projectinteraction matrix; and constructing a personalized recommendation model according to the user-project interaction matrix and obtaining corresponding projects recommended to the users. According to the method and system, the data dilution problem and cold start problem in collaborative filtering of data can be effectively relieved, and proper projects can be recommended to users according to specific conditions of the users, so that the friendly using experience of the users can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a personalized recommendation method and system for fusing multi-source heterogeneous information. Background technique [0002] Information push is a new technology that reduces information overload by regularly transmitting the information that users need on the Internet through certain technical standards or protocols; push technology automatically transmits information to users to reduce the time spent on searching on the Internet; It searches and filters information according to the interests of users, and regularly pushes it to users to help users discover valuable information efficiently. A comprehensive direction based on multiple technologies; pushing the right information to the right people is a very challenging job, and this process requires a full analysis of the information. [0003] The existing recommendation technology recommends multiple items with high...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 胡建国晏斌李凯详
Owner SUN YAT SEN UNIV
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