Collaborative filtering tag recommendation method and system based on user quality model

Abstract

The invention discloses a collaborative filtering tag recommendation method and system based on user quality model. The collaborative filtering tag recommendation method comprises the following steps: perfecting a tag system according to situations that happen in the existing system; mapping information of users in the system into a two-dimensional matrix, so as to construct a user model, and storing the user model in the form of a user-tag two-dimensional matrix; acquiring model vectors of the current user, and calculating the degree of similarity between the current user and the neighbor user in the system; calculating model vectors of the neighbor user; according to the model vectors of the neighbor user in the system and a modified collaborative filtering recommendation algorithm, generating the best recommendation; returning the best recommendation result to the user interface through a WEB server. According to the collaborative filtering tag recommendation method and system based on the user quality model, provided by the invention, the best recommended user selection process in the conventional algorithm is optimized, the recommendation accuracy and the recall rate are improved, and evolution and updating of the current tag system in the system are facilitated; besides, according to appearing situations of users and resources in the system, proper tag sources are selected, and the problems of cold boot and single tag source are solved.

Description

technical field [0001] The invention relates to the field of WEB application technology, in particular to a collaborative filtering label recommendation method and system based on a user quality model. Background technique [0002] With the in-depth development of network technology, tags have become a standard information organization method on the Internet, and have been widely used in free taxonomy, which is a method for users to freely access information. It enables users to mark information features in the form of "tags" with their own voice. It is a unique information organization tool in the Internet information environment by using tags to classify, organize and retrieve information on text, pictures, video and audio resources to realize information search and sharing. In the past few years, tagging systems for users to create and share metadata have been explored and applied on the Internet, such as Flickrtll, Del.icio.us21, Connoteat, and LibraryThingt are all con...

AI Technical Summary

Problems solved by technology

[0010] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a collaborative filtering label recommendation method and system based on the user quality model, aiming at solving the problems existing in the prior art based on the collaborative filtering recommendation algorithm and most of the existing label recommendation algorithms. Problems such as outdated label space, cold start and too single label source

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