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Aggregation of preferences in recommender systems
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posted on 2011-01-01, 00:00 authored by Gleb BeliakovGleb Beliakov, T Calvo, Simon JamesSimon JamesThis chapter gives an overview of aggregation functions toward their use in recommender systems. Simple aggregation functions such as the arithmetic mean are often employed to aggregate user features, item ratings, measures of similarity, etc., however many other aggregation functions exist which could deliver increased accuracy and flexibility to many systems. We provide definitions of some important families and properties, sophisticated methods of construction, and various examples of aggregation functions in the domain of recommender systems.
History
Title of book
Recommender systems handbookChapter number
22Pagination
705 - 734Publisher
SpringerPlace of publication
New YorkISBN-13
9780387858197ISBN-10
0387858199Edition
1stLanguage
engPublication classification
B1 Book chapterCopyright notice
2011, SpringerExtent
25Editor/Contributor(s)
F Ricci, L Rokach, B Shapira, P KantorUsage metrics
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