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A New System-Wide Diversity Measure for Recommendations with Efficient Algorithms
Author(s) -
Arda Antikacioglu,
Tanvi Bajpai,
R. Ravi
Publication year - 2019
Publication title -
siam journal on mathematics of data science
Language(s) - English
Resource type - Journals
ISSN - 2577-0187
DOI - 10.1137/18m1226014
Subject(s) - movielens , computer science , recommender system , bipartite graph , collaborative filtering , machine learning , relevance (law) , jaccard index , diversity (politics) , information retrieval , algorithm , graph , theoretical computer science , artificial intelligence , data mining , cluster analysis , sociology , political science , anthropology , law
Recommender systems often operate on item catalogs clustered by genres and user bases that have natural clusterings into user types by demographic or psychographic attributes. Prior work on system-...

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