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IUI
2003
ACM
15 years 11 months ago
Towards more conversational and collaborative recommender systems
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
Giuseppe Carenini, Jocelyin Smith, David Poole
CISS
2008
IEEE
16 years 1 months ago
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
Peter Marbach
AUSAI
2009
Springer
16 years 1 months ago
Probabilistic Seeking Prediction in P2P VoD Systems
In P2P VoD streaming systems, user behavior modeling is critical to help optimise user experience as well as system throughput. However, it still remains a challenging task due to ...
Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu
CVPR
2011
IEEE
15 years 2 months ago
Collaborative Personalization of Image Enhancement
While most existing enhancement tools for photographs have universal auto-enhancement functionality, recent research [8] shows that users can have personalized preferences. In thi...
Juan Caicedo, Ashish Kapoor, Sing Bing Kang
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
16 years 7 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren