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Diversity and Novelty in Web Search, Recommender Systems and Data Streams

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2014-01-01
Santos, Rodrygo L. T.
Castells, Pablo
Altıngövde, İsmail Sengör
Can, Fazli
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Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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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.
Relevance, Diversity, Novelty, Ambiguity, Redundancy
https://hdl.handle.net/11511/39182
Department of Computer Engineering, Conference / Seminar
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