A Case-Based Solution to the Cold-Start Problem in Group Recommenders
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3042-3045.
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.
Lara Quijano Sánchez, Derek G. Bridge, Belén Díaz-Agudo, and Juan Antonio Recio-García. 2013. A Case-Based Solution to the Cold-Start Problem in Group Recommenders. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 3042–3045. https://ijcai.org/proceedings/2013/453
Sánchez, L. Q., Bridge, D. G., Díaz-Agudo, B., & Recio-García, J. A. (2013). A Case-Based Solution to the Cold-Start Problem in Group Recommenders. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 (pp. 3042–3045). IJCAI. https://ijcai.org/proceedings/2013/453
@inproceedings{ijcai2013p453,
title = {A Case-Based Solution to the Cold-Start Problem in Group Recommenders},
author = {Sánchez, Lara Quijano and Bridge, Derek G. and Díaz-Agudo, Belén and Recio-García, Juan Antonio},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3042--3045},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/453},
}
TY - CPAPER TI - A Case-Based Solution to the Cold-Start Problem in Group Recommenders AU - Sánchez, Lara Quijano AU - Bridge, Derek G. AU - Díaz-Agudo, Belén AU - Recio-García, Juan Antonio T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3042 EP - 3045 UR - https://ijcai.org/proceedings/2013/453 ER -Copied
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