Diversity and novelty in web search, recommender systems and data streams

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Author
Santos, R. L. T.
Castells, P.
Altingovde, I. S.
Can, Fazlı
Date
2014-02
Source Title
7th ACM International Conference on Web Search and Data Mining
Publisher
Association for Computing Machinery
Pages
679 - 680
Language
English
Type
Conference Paper
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Abstract
This tutorial aims to provide a unifying account of current research on diversity and novelty in the domains of web search, recommender systems, and data stream processing.
Keywords
Ambiguity
Novelty
Redundancy
Relevance
Data communication systems
Recommender systems
Redundancy
Websites
Ambiguity
Data stream
Data stream processing
Diversity
Web searches
Data mining
Permalink
http://hdl.handle.net/11693/27807
Published Version (Please cite this version)
https://doi.org/10.1145/2556195.2556199
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