Diversity and novelty in information retrieval

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Date

2013-09-02

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 different IR domains, namely, in the context of search engines, recommender systems, and data streams.

Subject Keywords

Relevance, Diversity, Novelty, Ambiguity, Redundancy

URI

https://hdl.handle.net/11511/46230

DOI

https://doi.org/10.1145/2484028.2484187

Collections

Department of Computer Engineering, Conference / Seminar

Citation Formats

R. L. T. Santos, P. Castells, İ. S. Altıngövde, and F. Can, “Diversity and novelty in information retrieval,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46230.