An Algorithm of Users Access Patterns Mining Based on Video Recommendation

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 182)

Abstract

Due to the substantial growth of IPTV video users, the weak characteristics of terminal "Set-Top-Box + TV" lead to a great difficulty for users to search required videos, and effective recommendation has an important influence on improving VOD quality. In this paper, the Forecast algorithm is proposed, which is based on the sequential pattern method, consider timeliness features of the videos, convert user watch history into relative access value, then do personalized recommendation. It has strong response speed, can basically meet the needs of real-time video recommendation on IPTV. The algorithm is easy to understand, has good recommend result.

Keywords

Recommend on video Sequence Access mode Data mining 

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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina

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