A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
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2013
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ALEJANDRO BELLOGIN, , ed.. Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. New York: ACM, 2013, pp. 7-14. ISBN 978-1-4503-2465-6. Available under: doi: 10.1145/2532508.2532511
Zusammenfassung
Offline evaluations are the most common evaluation method for research paper recommender systems. However, no thorough discussion on the appropriateness of offline evaluations has taken place, despite some voiced criticism. We conducted a study in which we evaluated various recommendation approaches with both offline and online evaluations. We found that results of offline and online evaluations often contradict each other. We discuss this finding in detail and conclude that offline evaluations may be inappropriate for evaluating research paper recommender systems, in many settings.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Research paper recommender systems, evaluation, offline evaluation, click-through rate, online evaluation, comparative study
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RepSys '13, 12. Okt. 2013, Hong Kong
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BEEL, Joeran, Marcel GENZMEHR, Stefan LANGER, Andreas NÜRNBERGER, Bela GIPP, 2013. A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation. RepSys '13. Hong Kong, 12. Okt. 2013. In: ALEJANDRO BELLOGIN, , ed.. Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. New York: ACM, 2013, pp. 7-14. ISBN 978-1-4503-2465-6. Available under: doi: 10.1145/2532508.2532511BibTex
@inproceedings{Beel2013compa-31055, year={2013}, doi={10.1145/2532508.2532511}, title={A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation}, isbn={978-1-4503-2465-6}, publisher={ACM}, address={New York}, booktitle={Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation}, pages={7--14}, editor={Alejandro Bellogin}, author={Beel, Joeran and Genzmehr, Marcel and Langer, Stefan and Nürnberger, Andreas and Gipp, Bela} }
RDF
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