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City Combining Item / San Antonio / New York / Philadelphia / Miami / / Company ACM New York / Amazon / Hybrid Recommender Systems / IMDB / ACM Press / Youtube / Recommender Systems / Pearson / M AE / / Country United States / United Kingdom / / / Event Reorganization / / Facility Highfield Campus / University of Southampton / / IndustryTerm data mining techniques / recommendation algorithms / machine learning algorithms / on-line cost / recommendation systems / Web Usage Analysis / on-line stage / machine learning / bayesian networks / large-scale e-commerce / collaborative filtering recommendation algorithms / information filtering / Organization IDF / Congress / Collective Intelligence / School of Electronics and Computer Science / University of Southampton / Virtual Centre of Excellence / / Person J. Herlocker / B. Sarwar / Adam Pr / Joseph A. Konstan / M. Lyu / H. Ma / G. Karypis / B. M. Sarwar / Morgan Kaufmann / J. Riedl / J. T. Riedl / Bennett Abstract / T. Jonathan L. Herlocker / S. Al Mamunur Rashid / I. King / J. Konstan / S. Marko Balabanovic / Martin Helmhout / / Position author / Porter / actors/actress / / Product Bayes / DFThresholding / FilmTrust / MovieLens (ML) / / ProgrammingLanguage Java / / ProvinceOrState New York / Pennsylvania / Florida / / PublishedMedium Machine Learning / Communications of the ACM / / Technology recommendation algorithms / machine learning algorithms / system algorithms / machine learning / feature selection algorithms / Item-based collaborative filtering recommendation algorithms / recommendation algorithm / proposed algorithm / Java / memory-based CF algorithm / Social information filtering / URL www.grouplens.org/node/73 / www.youtube.com / “Amazon.com / www.filmtrust.com / www.imdb.com / http / SocialTag 
C:/Users/Musi/workspace/MusiRecommender/Reports/IAENG/IMECS2010.dvi