Towards reproducibility in recommender-systems research-Reference-Cited by-同舟云学术

Towards reproducibility in recommender-systems research

Published:2016-03 Issue:1 Volume:26 Page:69-101
ISSN:0924-1868
Container-title:User Modeling and User-Adapted Interaction
language:en
Short-container-title:User Model User-Adap Inter

Author:

Beel Joeran,Breitinger Corinna,Langer Stefan,Lommatzsch Andreas,Gipp Bela

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Link

http://link.springer.com/content/pdf/10.1007/s11257-016-9174-x.pdf

Reference103 articles.

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3. Beel, J.: Towards effective research-paper recommender systems and user modeling based on mind maps. PhD Thesis. Otto-von-Guericke Universität Magdeburg (2015)

4. Beel, J., Langer, S.: A comparison of offline evaluations, online evaluations, and user studies in the context of research-paper recommender systems. In: Kapidakis, S., Mazurek, C., Werla, M. (eds.) Proceedings of the 19th International Conference on Theory and Practice of Digital Libraries (TPDL). Lecture Notes in Computer Science. 153–168 (2015). doi: 10.1007/978-3-319-24592-8_12

5. Beel, J., Gipp, B., Shaker, A., Friedrich, N.: SciPlore Xtract: extracting titles from scientific PDF documents by analyzing style information (font size). In Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds.) Research and Advanced Technology for Digital Libraries. Proceedings of the 14th European Conference on Digital Libraries (ECDL’10). Lecture Notes of Computer Science (LNCS), pp. 413–416. Springer, Glasgow (2010)

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