An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Understanding and Using Context
Personal and Ubiquitous Computing
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
PocketLens: Toward a personal recommender system
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
An Improvement to Collaborative Filtering for Recommender Systems
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
IEEE Intelligent Systems
Improving Accuracy of Recommender System by Clustering Items Based on Stability of User Similarity
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
Interacting with Computers
A probabilistic music recommender considering user opinions and audio features
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Collaborative recommender systems: Combining effectiveness and efficiency
Expert Systems with Applications: An International Journal
Fuzzy-genetic approach to recommender systems based on a novel hybrid user model
Expert Systems with Applications: An International Journal
Comparing State-of-the-Art Collaborative Filtering Systems
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Exploiting contextual information in recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Collaborative filtering using orthogonal nonnegative matrix tri-factorization
Information Processing and Management: an International Journal
Collaborative filtering adapted to recommender systems of e-learning
Knowledge-Based Systems
A new collaborative filtering metric that improves the behavior of recommender systems
Knowledge-Based Systems
A context-aware music recommendation system using fuzzy bayesian networks with utility theory
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Expert Systems with Applications: An International Journal
Collaborative filtering based on significances
Information Sciences: an International Journal
A collaborative filtering approach to mitigate the new user cold start problem
Knowledge-Based Systems
A framework for collaborative filtering recommender systems
Expert Systems with Applications: An International Journal
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
A balanced memory-based collaborative filtering similarity measure
International Journal of Intelligent Systems
Improving collaborative filtering-based recommender systems results using Pareto dominance
Information Sciences: an International Journal
Knowledge-Based Systems
Incorporating group recommendations to recommender systems: Alternatives and performance
Information Processing and Management: an International Journal
Proceedings of the 7th ACM conference on Recommender systems
A novel Bayesian similarity measure for recommender systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Evaluating books finding tools on social media: A case study of aNobii
Information Processing and Management: an International Journal
Hierarchical graph maps for visualization of collaborative recommender systems
Journal of Information Science
A new user similarity model to improve the accuracy of collaborative filtering
Knowledge-Based Systems
An entropy-based neighbor selection approach for collaborative filtering
Knowledge-Based Systems
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
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Recommender systems play an important role in reducing the negative impact of information overload on those websites where users have the possibility of voting for their preferences on items. The most normal technique for dealing with the recommendation mechanism is to use collaborative filtering, in which it is essential to discover the most similar users to whom you desire to make recommendations. The hypothesis of this paper is that the results obtained by applying traditional similarities measures can be improved by taking contextual information, drawn from the entire body of users, and using it to calculate the singularity which exists, for each item, in the votes cast by each pair of users that you wish to compare. As such, the greater the measure of singularity result between the votes cast by two given users, the greater the impact this will have on the similarity. The results, tested on the Movielens, Netflix and FilmAffinity databases, corroborate the excellent behaviour of the singularity measure proposed.