| Document Date: 2013-11-06 10:32:57
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City Semantic Path / Ontology / / Company Last.fm / AUAI Press / Neural Information Processing Systems / Andrew / S. E. Middleton D. D. / CIKM / Yahoo! / / Country China / / Currency USD / / / Event Product Issues / Product Recall / / Facility library MyMediaLite / Roberto Mirizzi Polytechnic University of Bari / / IndustryTerm recommendation algorithms / semantic-based recommendation algorithm / collaborative-filtering algorithm / knowledge management / conventional recommender systems / recommender systems / semantic technologies / recommender algorithms / semantic-aware and ontological recommender systems / Web Of Data / recommendation algorithm / software library / ontological recommender systems / content-based recommender systems / collaborative filtering algorithms / model-based recommender systems / learning to rank algorithm / comparative algorithms / Internet Technol / Web Mining / hybrid recommendation algorithm / hybrid algorithm / Web search / mining / point-wise algorithms / item recommendation algorithm / web personalization / established technologies / learning algorithm / / NaturalFeature Random Forest / Random Forests / / Organization Roberto Mirizzi Polytechnic University of Bari / IEEE Computer Society / / Person Craig David / Web Mining / R. Mirizzi / V / Adele David / Vito Claudio Ostuni / Roberto Mirizzi / Eugenio Di Sciascio / / Position dbprop / Product single test case / values / users / / ProgrammingLanguage ML / / PublishedMedium Machine Learning / Journal of Machine Learning Research / / Technology recommendation algorithms / semantic-based recommendation algorithm / collaborative filtering algorithms / 92 recommender algorithms / Machine Learning / collaborative-filtering algorithm / two algorithms / item recommendation algorithm / recommendation algorithm / learning algorithm / knowledge management / hybrid algorithm / comparative algorithms / two point-wise algorithms / instead collaborative filtering algorithms / same learning algorithm / 1.1 Algorithm / Data Mining / RDF / 5 10 20 30 50 All Evaluation Protocol / hybrid recommendation algorithm / / URL http /
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Top-N Recommendations from Implicit Feedback leveraging Linked Open Data Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi Polytechnic University of Bari – Via Orabona, 4 – 70125 Bari, Italy