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RECSYS
2009
ACM
15 years 4 months ago
Measuring predictive capability in collaborative filtering
This paper presents a new memory-based approach to Collaborative Filtering where the neighbors of the active user will be selected taking into account their predictive capability....
Luis M. de Campos, Juan M. Fernández-Luna, ...
SIGIR
2010
ACM
14 years 4 months ago
Personalised video retrieval: application of implicit feedback and semantic user profiles
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Frank Hopfgartner
CHI
2009
ACM
15 years 10 months ago
Comparison of three one-question, post-task usability questionnaires
Post-task ratings of difficulty in a usability test have the potential to provide diagnostic information and be an additional measure of user satisfaction. But the ratings need to...
Jeff Sauro, Joseph S. Dumas
AAAI
2010
14 years 11 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
COMAD
2009
14 years 11 months ago
Trust-Based Infinitesimals for Enhanced Collaborative Filtering
In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
Maria Chowdhury, Alex Thomo, William W. Wadge