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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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.

Source Title

7th ACM International Conference on Web Search and Data Mining

Publisher

Association for Computing Machinery

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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

Collections

Scholarly Publications - Computer Engineering

Language

English

Type

Conference Paper