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Diversity and Novelty in Web Search, Recommender Systems and Data Streams
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index.pdf
Date
2014-01-01
Author
Santos, Rodrygo L. T.
Castells, Pablo
Altıngövde, İsmail Sengör
Can, Fazli
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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Cite This
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
Collections
Department of Computer Engineering, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
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.
