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CLEF 2017 NewsREEL Overview: A Stream-based Recommender Task for Evaluation and Education

Autor: Lommatzsch, A., Kille, B., Hopfgartner, F., Larson, M., Brodt, T., Seiler, J., Özgöbek, Ö., Jones, G.J.F., Lawless, S., Gonzalo, J., Kelly, L., Goeuriot, L., Mandl, T., Cappellato, L., Ferro, N.

Publikováno v: Jones, G.J.F.; Lawless, S.; Gonzalo, J. (ed.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11+IBM-14, 2017, Proceedings, pp. 239-254
Jones, G.J.F.; Lawless, S.; Gonzalo, J. (ed.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11+IBM-14, 2017, Proceedings, 239-254. Cham : Springer International Publishing
STARTPAGE=239;ENDPAGE=254;ISSN=0302-9743;TITLE=Jones, G.J.F.; Lawless, S.; Gonzalo, J. (ed.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11+IBM-14, 2017, Proceedings

News recommender systems provide users with access to news stories that they find interesting and relevant. As other online, stream-based recommender systems, they face particular challenges, including limited information on users’ preferences and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::669728912fa9d1ab36e8757f80f92a42
https://eprints.gla.ac.uk/142655/13/142655.pdf

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A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms

Autor: Kille, B., Lommatzsch, A., Hopfgartner, F., Larson, M., Vries, A.P.d., Kando, N.

Publikováno v: Kando, N. (ed.), SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan — August 07-11, 2017, 1257-1260. New York : ACM
STARTPAGE=1257;ENDPAGE=1260;TITLE=Kando, N. (ed.), SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan — August 07-11, 2017
SIGIR
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
Kando, N. (ed.), SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan — August 07-11, 2017, pp. 1257-1260

Recommender System research has evolved to focus on developing algorithms capable of high performance in online systems. This development calls for a new evaluation infrastructure that supports multi-dimensional evaluation of recommender systems. Tod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e54f1b2e8e41a05a23bd1dc6d2a25be
http://hdl.handle.net/2066/176390

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The Potentials of Recommender Systems Challenges for Student Learning

Autor: Hopfgartner, F., Lommatzsch, A., Kille, B., Larson, M.A., Brodt, T., Cremonesi, P., Karatzoglou, A., Lee, D.D.

Publikováno v: Proceedings of CiML'16: Challenges in Machine Learning: Gaming and Education
Lee, D.D. (ed.), NIPS 2016: 30th Conference on Neural Information Processing Systems, Barcelona, Spain. Workshop Challenges in Machine Learning: Gaming and Education, 1-2. [S.l.] : [S.n.]
STARTPAGE=1;ENDPAGE=2;TITLE=Lee, D.D. (ed.), NIPS 2016: 30th Conference on Neural Information Processing Systems, Barcelona, Spain. Workshop Challenges in Machine Learning: Gaming and Education
Proceedings of CiML'16: Challenges in Machine Learning: Gaming and Education 2016
Proceedings of CiML'16
Lee, D.D. (ed.), NIPS 2016: 30th Conference on Neural Information Processing Systems, Barcelona, Spain. Workshop Challenges in Machine Learning: Gaming and Education, pp. 1-2

Increasingly, educators make use of learning-by-doing approaches to teach students\ud of STEM programmes the skills that they need to become successful in\ud careers in research and development. However, we argue that the technical\ud challenges addr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fff79e9835b8aee9b56cc36da1357cd7
https://eprints.gla.ac.uk/131314/7/131314.pdf

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