Recommendation method and system based on collaborative filtering

Abstract

A recommendation method based on collaborative filtering includes: acquiring target user identification, searching user group identification corresponding to the target user identification, acquiringsimilarity between items confirmed according to user-item grade matrix corresponding to the user group identification; and recommending item to the target user according to the similarity between items. By adopting the recommendation method provided by the invention, accuracy of item recommendation can be improved, and user experience can be improved. The invention also provides a recommendation system based on collaborative filtering.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a recommendation method and system based on collaborative filtering. Background technique [0002] The recommendation system is an intelligent agent system proposed to solve the problem of information overload, which can automatically recommend resources that meet their interests, preferences or needs from a large amount of information to users. With the popularity and rapid development of the Internet, recommender systems have been widely used in various fields, especially in the field of e-commerce, recommender systems have been more and more researched and applied. At present, almost all large e-commerce websites use various forms of recommendation systems to varying degrees, such as Amazon, CDNOW, eBay and Dangdang online bookstores. Among them, collaborative filtering technology has achieved greater success in the current application of recommendation systems....

AI Technical Summary

Problems solved by technology

This will inevitably lead to low recommendation accuracy and quality degradation

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