Information retrieval using a singular value decomposition model of latent semantic structure
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
A collaborative filtering algorithm and evaluation metric that accurately model the user experience
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Collaborative recommendation: A robustness analysis
ACM Transactions on Internet Technology (TOIT)
Scalable collaborative filtering using cluster-based smoothing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Using data mining to provide recommendation service
WSEAS Transactions on Information Science and Applications
Collaborative filtering adapted to recommender systems of e-learning
Knowledge-Based Systems
A hybrid recommendation technique based on product category attributes
Expert Systems with Applications: An International Journal
A multi-disciplinar recommender system to advice research resources in University Digital Libraries
Expert Systems with Applications: An International Journal
A new collaborative filtering metric that improves the behavior of recommender systems
Knowledge-Based Systems
Information Sciences: an International Journal
TopRecs: Top-k algorithms for item-based collaborative filtering
Proceedings of the 14th International Conference on Extending Database Technology
e-learning experience using recommender systems
Proceedings of the 42nd ACM technical symposium on Computer science education
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Expert Systems with Applications: An International Journal
Hybrid recommendation based on low-dimensional augmentation of combined feature profiles
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Information Sciences: an International Journal
Collaborative filtering based on significances
Information Sciences: an International Journal
An improved privacy-preserving DWT-based collaborative filtering scheme
Expert Systems with Applications: An International Journal
Preference elicitation techniques for group recommender systems
Information Sciences: an International Journal
A collaborative filtering similarity measure based on singularities
Information Processing and Management: an International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
A framework for collaborative filtering recommender systems
Expert Systems with Applications: An International Journal
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
Information Processing and Management: an International Journal
A comparison of clustering-based privacy-preserving collaborative filtering schemes
Applied Soft Computing
A scalable privacy-preserving recommendation scheme via bisecting k-means clustering
Information Processing and Management: an International Journal
Towards effective course-based recommendations for public tenders
International Journal of Knowledge and Web Intelligence
| Hi-index | 12.06 |
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendation technique that confronts the ''information overload'' problem. Memory-based algorithms recommend according to the preferences of nearest neighbors, and model-based algorithms recommend by first developing a model of user ratings. In this paper, we bring to surface factors that affect CF process in order to identify existing false beliefs. In terms of accuracy, by being able to view the ''big picture'', we propose new approaches that substantially improve the performance of CF algorithms. For instance, we obtain more than 40% increase in precision in comparison to widely-used CF algorithms. In terms of efficiency, we propose a model-based approach based on latent semantic indexing (LSI), that reduces execution times at least 50% than the classic CF algorithms.