A Case-Based Solution to the Cold-Start Problem in Group Recommenders. Quijano-Sánchez, L., Bridge, D., G., D\'\iaz-Agudo, B., Recio-Garc\'\ia, J., A., Díaz-Agudo, B., Recio-García, J., D\'\iaz-Agudo, B., & Recio-Garc\'\ia, J., A. In D\'\iaz-Agudo, B. & Watson, I., editors, IJCAI, volume 7466, of Lecture Notes in Computer Science, pages 3042-3046, 2013. Springer.
abstract   bibtex   
In this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the most similar user known to the system.
@inproceedings{
 title = {A Case-Based Solution to the Cold-Start Problem in Group Recommenders},
 type = {inproceedings},
 year = {2013},
 identifiers = {[object Object]},
 pages = {3042-3046},
 volume = {7466},
 issue = {23rd International Joint Conference On Artificial Intelligence},
 publisher = {Springer},
 series = {Lecture Notes in Computer Science},
 id = {641ae04e-a139-3d95-9f64-9895d0de3f4a},
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 abstract = {In this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the most similar user known to the system.},
 bibtype = {inproceedings},
 author = {Quijano-Sánchez, Lara and Bridge, Derek G and D\'\iaz-Agudo, Belén and Recio-Garc\'\ia, Juan A and Díaz-Agudo, B. and Recio-García, J.A. and D\'\iaz-Agudo, Belén and Recio-Garc\'\ia, Juan A},
 editor = {D\'\iaz-Agudo, Belén and Watson, Ian},
 booktitle = {IJCAI}
}

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