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      • Faculty of Engineering
      • Department of Computer Engineering
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      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
      Item Usage Stats
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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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      • Department of Computer Engineering 1371
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