A collaborative filtering recommendation method, device and system

Abstract

The invention discloses a collaborative filtering recommendation method, a device and a system base on a user track. The collaborative filtering recommendation method, the device and the system base on the user track are used for providing more effective recommendations for users, when the users browse and select web pages and videos. The method comprises that position information of a mobile terminal can be acquired, and geographic position coordinates of users can be ensured according to the position information. Position spots which are ensured by geographic position coordinates can be clustered so as to ensure user tracks of users. Each user track is an area which the radius is less than a first threshold value and position spot density is greater than a second threshold value. A track of a target user can be made a comparison with user tracks of other users, and an adjacent user of the target user can be ensured. The target user is a user which waits for providing a recommended result. Browsing histories of users can be obtained and saved. The recommended result can be provided for the target user by use of a collaborative filtering arithmetic according to the browsing histories of the target user and the adjacent user. The invention further discloses a collaborative filtering recommendation device and a system based on the user track.

Description

Technical field [0001] The present invention relates to the field of network technology, in particular to a collaborative filtering recommendation method, device and system. Background technique [0002] With the continuous development of Internet technology, the amount of information that users can obtain continues to increase, and users are facing the problem of information overload. For example, when a user browses a video website or a video client for leisure purposes and has no clear needs, the user will face the problem of not knowing how to choose when faced with countless video files. Therefore, a recommendation system is needed to help users filter information. Collaborative filtering recommendation is an important technology in information filtering and information systems. [0003] In the prior art, the steps of the collaborative filtering recommendation algorithm include: recording and counting user browsing records; using user groups with similar interests or informa...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the main purpose of the present invention is to provide a collaborative filtering recommendation method, device and system to solve the problem of low recommendation accuracy in the collaborative filtering recommendation method in the prior art

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