Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
IEEE Intelligent Systems
Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
Interacting with Computers
A survey of trust and reputation systems for online service provision
Decision Support Systems
Trust-inspiring explanation interfaces for recommender systems
Knowledge-Based Systems
Collaborative recommender systems: Combining effectiveness and efficiency
Expert Systems with Applications: An International Journal
TREPPS: A Trust-based Recommender System for Peer Production Services
Expert Systems with Applications: An International Journal
Q-rater: A collaborative reputation system based on source credibility theory
Expert Systems with Applications: An International Journal
Multidimensional credibility model for neighbor selection in collaborative recommendation
Expert Systems with Applications: An International Journal
User credit-based collaborative filtering
Expert Systems with Applications: An International Journal
A recommender system for research resources based on fuzzy linguistic modeling
Expert Systems with Applications: An International Journal
Gradual trust and distrust in recommender systems
Fuzzy Sets and Systems
A Fuzzy Linguistic Recommender System to Disseminate the Own Academic Resources in Universities
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Improving memory-based collaborative filtering via similarity updating and prediction modulation
Information Sciences: an International Journal
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
A new collaborative filtering metric that improves the behavior of recommender systems
Knowledge-Based Systems
Information Sciences: an International Journal
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Collaborative filtering based on significances
Information Sciences: an International Journal
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Providing Justifications in Recommender Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Location-based recommendation system using Bayesian user's preference model in mobile devices
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
A comparative study of heterogeneous item recommendations in social systems
Information Sciences: an International Journal
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
Knowledge-Based Systems
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In this paper we introduce the idea of using a reliability measure associated to the predictions made by recommender systems based on collaborative filtering. This reliability measure is based on the usual notion that the more reliable a prediction, the less liable to be wrong. Here we will define a general reliability measure suitable for any arbitrary recommender system. We will also show a method for obtaining specific reliability measures specially fitting the needs of different specific recommender systems.