Using Tags for Measuring the Semantic Similarity of Users to Enhance Collaborative Filtering Recommender Systems | Zendy

Ayman S. Ghabayen | Zendy; Shahrul Azman Mohd Noah | Zendy

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Using Tags for Measuring the Semantic Similarity of Users to Enhance Collaborative Filtering Recommender Systems

Author(s) -

Ayman S. Ghabayen,

Shahrul Azman Mohd Noah

Publication year - 2017

Publication title -

international journal on advanced science engineering and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 22

eISSN - 2460-6952

pISSN - 2088-5334

DOI - 10.18517/ijaseit.7.6.1826

Subject(s) - computer science , collaborative filtering , recommender system , information retrieval , categorization , similarity (geometry) , popularity , identification (biology) , quality (philosophy) , task (project management) , semantic similarity , intersection (aeronautics) , cold start (automotive) , filter (signal processing) , world wide web , artificial intelligence , image (mathematics) , psychology , social psychology , philosophy , botany , management , epistemology , biology , engineering , economics , computer vision , aerospace engineering

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