This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) …
Lack of cooperation (free riding) is one of the key problems that confronts today's P2P systems. What makes this problem particularly difficult is the unique set of challenges that …
Collaborative Filtering is one of the most widely used approaches in recommendation systems which predicts user preferences by learning past user-item relationships. In recent …
Recent studies have indicated that the application of Multi-Criteria Decision Making (MCDM) methods in recommender systems has yet to be systematically explored. This observation …
D Song, CE Lee, Y Li, D Shah - Advances in Neural …, 2016 - proceedings.neurips.cc
We introduce the framework of {\em blind regression} motivated by {\em matrix completion} for recommendation systems: given $ m $ users, $ n $ movies, and a subset of user-movie …
Y Chen, S He, Y Yang, F Liang - Journal of the American Statistical …, 2023 - Taylor & Francis
Topic models provide a useful text-mining tool for learning, extracting, and discovering latent structures in large text corpora. Although a plethora of methods have been proposed for …
J Kleinberg, M Sandler - Journal of Computer and System Sciences, 2008 - Elsevier
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We …
J Kleinberg, M Sandler - Proceedings of the thirty-sixth annual ACM …, 2004 - dl.acm.org
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We …
V Shah, L Gulikers, L Massoulié… - Operations …, 2020 - pubsonline.informs.org
A matching in a two-sided market often incurs an externality: a matched resource may become unavailable to the other side of the market, at least for a while. This is especially an …