Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach-Reference-Cited by-同舟云学术

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Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach

Published:2018 Issue: Volume: Page:310-315
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
Short-container-title:

Author:

Alslaity Alaa,Tran Thomas

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-89656-4_32

Reference11 articles.

1. Shani, G., Gunawardana, A.: Evaluating recommendation systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds.) Recommender Systems Handbook, pp. 257–297. Springer, Boston (2011). https://doi.org/10.1007/978-0-387-85820-3_8

2. Pu, P., Chen, L., Hu, R.: A user-centric evaluation framework for recommender systems. In: Proceedings of the Fifth ACM Conference on Recommender Systems, pp. 157–164. ACM, October 2011

3. Seminario, C.E., Wilson, D.C.: Robustness and accuracy tradeoffs for recommender systems under attack. In: FLAIRS Conference (2012)

4. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

5. Kowald, D., Lex, E.: Evaluating tag recommender algorithms in real-world folksonomies: a comparative study. In: Proceedings of the 9th ACM Conference on Recommender Systems, pp. 265–268. ACM (2015)

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1. Evaluating Recommender Systems;International Journal of Intelligent Information Technologies;2021-04

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