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

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Date

2014-01-01

Author

Santos, Rodrygo L. T.
Castells, Pablo
Altıngövde, İsmail Sengör
Can, Fazli

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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.

Subject Keywords

Relevance, Diversity, Novelty, Ambiguity, Redundancy

URI

https://hdl.handle.net/11511/39182

DOI

https://doi.org/10.1145/2556195.2556199

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

R. L. T. Santos, P. Castells, İ. S. Altıngövde, and F. Can, “Diversity and Novelty in Web Search, Recommender Systems and Data Streams,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39182.