On the design of the semantic P2P system for music recommendation

Ming Hung Chen*, Ching-Ju Lin, Chui Chiu Kung, Cheng Fu Chou, Chang Jen Tu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The pervasive use of Peer-to-Peer (P2P) systems and the growing demand on personalization for consumers has made future business focus on the niche market instead of the mass market. The recommender system, which is able to timely select data of the interest to each individual user, has become the key to any successful business. However, currently most recommendation systems are based on a centralized architecture; nonetheless, they are not suitable for P2P environments. In this article, we propose a distributed semantic P2P overlay, which can provide music search and recommendation services by considering both of user preference and diversity of interests. We then propose a 3C hybrid recommendation procedure that adapts three traditional filtering techniques to fitting the requirements in a distributed semantic overlay. First, we choose a set of proper meta-data to represent a music object and use them to construct the characteristic-vector-based content filter. Second, a dominant attribute, which is one of the attributes in the characteristic vector of a music object, is used to build the profile of a peer. With the idea of the social network, a P2P profile-based collaborative filter is proposed. Finally, we explore the item-to-item relationship to construct a history-based cooperative filter. We use simulations and a real database called AudioScrobbler, which tracks users' listening habits, to evaluate the performance of the recommendation system. The results demonstrate the effectiveness of the proposed approach compared with existing recommendation systems.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Parallel and Distributed Processing with Applications, ISPA 2010
Pages442-448
Number of pages7
DOIs
StatePublished - 1 Dec 2010
EventInternational Symposium on Parallel and Distributed Processing with Applications, ISPA 2010 - Taipei, Taiwan
Duration: 6 Sep 20109 Sep 2010

Publication series

NameProceedings - International Symposium on Parallel and Distributed Processing with Applications, ISPA 2010

Conference

ConferenceInternational Symposium on Parallel and Distributed Processing with Applications, ISPA 2010
CountryTaiwan
CityTaipei
Period6/09/109/09/10

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