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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Scholarly Publications - Computer Engineering