Persistence in Recommender Systems: Giving the Same Recommendations to the Same Users Multiple Times
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-40501-3_43
Reference5 articles.
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2. Amatriain, X., Pujol, J.M., Tintarev, N., Oliver, N.: Rate it again: increasing recommendation accuracy by user re-rating. In: Proceedings of the third ACM conference on Recommender systems, pp. 173–180. ACM (2009)
3. Beel, J., Langer, S., Genzmehr, M., Nürnberger, A.: Introducing Docear’s Research Paper Recommender System. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) (2013)
4. Beel, J., Gipp, B., Langer, S., Genzmehr, M.: Docear: An Academic Literature Suite for Searching, Organizing and Creating Academic Literature. In: Proceedings of the 11th International Joint Conference on Digital Libraries, pp. 465–466. ACM (2011)
5. Beel, J., Langer, S., Nürnberger, A., Genzmehr, M.: The impact of demographics (age and gender) and other user-characteristics on evaluating recommender systems. In: Aalberg, T., Papatheodorou, C., Dobreva, M., Tsakonas, G. (eds.) TPDL 2013. LNCS, vol. 8092, pp. 396–400. Springer, Heidelberg (2013)
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