Publikation: Research Paper Recommender System Evaluation : A Quantitative Literature Survey
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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. 15-22. ISBN 978-1-4503-2465-6. Available under: doi: 10.1145/2532508.2532512
Zusammenfassung
Over 80 approaches for academic literature recommendation exist today. The approaches were introduced and evaluated in more than 170 research articles, as well as patents, presentations and blogs. We reviewed these approaches and found most evaluations to contain major shortcomings. Of the approaches proposed, 21% were not evaluated. Among the evaluated approaches, 19% were not evaluated against a baseline. Of the user studies performed, 60% had 15 or fewer participants or did not report on the number of participants. Information on runtime and coverage was rarely provided. Due to these and several other shortcomings described in this paper, we conclude that it is currently not possible to determine which recommendation approaches for academic literature are the most promising. However, there is little value in the existence of more than 80 approaches if the best performing approaches are unknown.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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Research paper recommender systems, evaluation, comparative study, recommender systems, survey
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RepSys '13, 12. Okt. 2013, Hong Kong
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BEEL, Joeran, Stefan LANGER, Marcel GENZMEHR, Bela GIPP, Corinna BREITINGER, Andreas NÜRNBERGER, 2013. Research Paper Recommender System Evaluation : A Quantitative Literature Survey. 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. 15-22. ISBN 978-1-4503-2465-6. Available under: doi: 10.1145/2532508.2532512BibTex
@inproceedings{Beel2013Resea-30897,
year={2013},
doi={10.1145/2532508.2532512},
title={Research Paper Recommender System Evaluation : A Quantitative Literature Survey},
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={15--22},
editor={Alejandro Bellogin},
author={Beel, Joeran and Langer, Stefan and Genzmehr, Marcel and Gipp, Bela and Breitinger, Corinna and Nürnberger, Andreas}
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<dcterms:abstract xml:lang="eng">Over 80 approaches for academic literature recommendation exist today. The approaches were introduced and evaluated in more than 170 research articles, as well as patents, presentations and blogs. We reviewed these approaches and found most evaluations to contain major shortcomings. Of the approaches proposed, 21% were not evaluated. Among the evaluated approaches, 19% were not evaluated against a baseline. Of the user studies performed, 60% had 15 or fewer participants or did not report on the number of participants. Information on runtime and coverage was rarely provided. Due to these and several other shortcomings described in this paper, we conclude that it is currently not possible to determine which recommendation approaches for academic literature are the most promising. However, there is little value in the existence of more than 80 approaches if the best performing approaches are unknown.</dcterms:abstract>
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