A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists

In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity matching method that combines collaborative filtering with ontology-based semantic distance measurements. We dynamically generate a personalized music playlist, from a selection of recommended playlists, which comprises the most relevant tracks to the user. Our Web recommender system features three functionalities: (1) predict the likability of a user towards a specific music playlist, (2) recommend a set of music playlists, and (3) compose a new personalized music playlist. Our experimental results will show the efficacy of our hybrid similarity matching approach and the information personalization method.

[1]  Grigorios Tsoumakas,et al.  An adaptive personalized news dissemination system , 2009, Journal of Intelligent Information Systems.

[2]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[3]  Michael J. Pazzani,et al.  A learning agent for wireless news access , 2000, IUI '00.

[4]  John Riedl,et al.  Analysis of recommendation algorithms for e-commerce , 2000, EC '00.

[5]  Òscar Celma,et al.  Foafing the Music: A Music Recommendation System based on RSS Feeds and User Preferences , 2005, ISMIR.

[6]  John Riedl,et al.  Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

[7]  Dan Frankowski,et al.  Collaborative Filtering Recommender Systems , 2007, The Adaptive Web.

[8]  Markus Koppenberger,et al.  General Terms Algorithms , 2022 .

[9]  Pabitra Mitra,et al.  Feature weighting in content based recommendation system using social network analysis , 2008, WWW.

[10]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[11]  John Darlington,et al.  A Semantic Similarity Measure for Semantic Web Services , 2005 .

[12]  Syed Sibte Raza Abidi.  Designing Adaptive Hypermedia for Internet Portals: A Personalization Strategy Featuring Case Base Reasoning with Compositional Adaptation , 2002, IBERAMIA.

[13]  Barry Smyth,et al.  PTV: Intelligent Personalised TV Guides , 2000, AAAI/IAAI.

[14]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[15]  Guy Shani,et al.  Mining recommendations from the web , 2008, RecSys '08.

[16]  Herbert Schorr,et al.  Innovative applications of artificial intelligence 2 , 1989 .

[17]  Miguel Toro,et al.  Advances in Artificial Intelligence — IBERAMIA 2002 , 2002, Lecture Notes in Computer Science.

[18]  Syed Sibte Raza Abidi,et al.  Intelligent Information Personalization: From Issues to Strategies , 2009 .

[19]  Xin Jin,et al.  Semantically Enhanced Collaborative Filtering on the Web , 2003, EWMF.

[20]  Dunja Mladenic,et al.  Web Mining: From Web to Semantic Web , 2004, Lecture Notes in Computer Science.

[21]  Panagiotis Germanakos,et al.  Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies , 2008 .