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

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Diversity and novelty in web search, recommender systems and data streams.pdf (328.01 KB)
Date
2014-02
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Source Title
7th ACM International Conference on Web Search and Data Mining
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Publisher
Association for Computing Machinery
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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.

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Keywords
Ambiguity , Novelty , Redundancy , Relevance , Data communication systems , Recommender systems , Redundancy , Websites , Ambiguity , Data stream , Data stream processing , Diversity , Web searches , Data mining
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http://hdl.handle.net/11693/27807
Published Version (Please cite this version)
https://doi.org/10.1145/2556195.2556199
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Department of Computer Engineering