A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
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
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Understanding and improving automated collaborative filtering systems
Understanding and improving automated collaborative filtering systems
Weighted Association Rule Mining using weighted support and significance framework
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Enabling Dynamic Content Caching in Web Portals
RIDE '04 Proceedings of the 14th International Workshop on Research Issues on Data Engineering: Web Services for E-Commerce and E-Government Applications (RIDE'04)
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
IEEE Transactions on Knowledge and Data Engineering
WordNet-based User Profiles for Neighborhood Formation in Hybrid Recommender Systems
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
A new approach for combining content-based and collaborative filters
Journal of Intelligent Information Systems
A collaborative filtering framework based on fuzzy association rules and multiple-level similarity
Knowledge and Information Systems
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A new restoration-based recommender system for shopping buddy smart carts
International Journal of Business Information Systems
Expert Systems with Applications: An International Journal
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Selecting a small number of products for effective user profiling in collaborative filtering
Expert Systems with Applications: An International Journal
A personalized recommendation system based on product taxonomy for one-to-one marketing online
Expert Systems with Applications: An International Journal
Feature-based recommendations for one-to-one marketing
Expert Systems with Applications: An International Journal
Content-based recommendation systems
The adaptive web
Collaborative error-reflected models for cold-start recommender systems
Decision Support Systems
A study on collaborative recommender system using fuzzy-multicriteria approaches
International Journal of Business Information Systems
Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Adoption of business intelligence systems in Indian fashion retail
International Journal of Business Information Systems
Market basket analysis a data mining application in Indian retailing
International Journal of Business Information Systems
Evaluation of a personalized digital library based on cognitive styles: Adaptivity vs. adaptability
International Journal of Information Management: The Journal for Information Professionals
Automated user modeling for personalized digital libraries
International Journal of Information Management: The Journal for Information Professionals
Collaborative user modeling for enhanced content filtering in recommender systems
Decision Support Systems
Input online review data and related bias in recommender systems
Decision Support Systems
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Recommender system is a promising technology for companies to present personalised offers to their customers. But this technology suffers from sparsity problem. In addition, most researches are based on explicit rating. But most users do not spend time for rating of products. Therefore, this research proposes an effective recommendation based on user behaviour. Since users express their opinions implicitly based on some specific attributes of products, we introduce a preference matrix that can collect user preferences based on attributes of products. In addition, since there are some sequential patterns in purchasing of products, we use weighted association rules to discover these patterns to improve the quality of recommendation. The method outperforms current algorithms and alleviates sparsity problem. Main contribution is implementation of a user behaviour-based recommendation method that discovers interest of users based on implicit rating of product attributes. In addition, this approach uses sequential pattern of purchasing to improve the quality of recommendation.