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
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Scalable collaborative filtering using cluster-based smoothing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A maximum entropy web recommendation system: combining collaborative and content features
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Induction of compact decision trees for personalized recommendation
Proceedings of the 2006 ACM symposium on Applied computing
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Recommendation algorithm combining the user-based classified regression and the item-based filtering
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
DCFLA: A distributed collaborative-filtering neighbor-locating algorithm
Information Sciences: an International Journal
Web image annotation by fusing visual features and textual information
Proceedings of the 2007 ACM symposium on Applied computing
Effective missing data prediction for collaborative filtering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling relationships at multiple scales to improve accuracy of large recommender systems
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
Supporting personalized ranking over categorical attributes
Information Sciences: an International Journal
Search structures and algorithms for personalized ranking
Information Sciences: an International Journal
A Novel Recommendation Method Based on Rough Set and Integrated Feature Mining
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
Rough Set Page Recommendation Algorithm Based on Information Entropy
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 04
A Collaborative Filtering Algorithm Based on Rough Set and Fuzzy Clustering
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Learning and inferencing in user ontology for personalized Semantic Web search
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
IEEE Transactions on Multimedia
AVATAR: an improved solution for personalized TV based on semantic inference
IEEE Transactions on Consumer Electronics
Information Sciences: an International Journal
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Information Sciences: an International Journal
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Ranking semantic relationships between two entities using personalization in context specification
Information Sciences: an International Journal
Electronic Commerce Research and Applications
An effective recommendation method for cold start new users using trust and distrust networks
Information Sciences: an International Journal
Recommendations in a heterogeneous service environment
Multimedia Tools and Applications
A method for collaborative recommendation in document retrieval systems
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Novel personal and group-based trust models in collaborative filtering for document recommendation
Information Sciences: an International Journal
Defending recommender systems by influence analysis
Information Retrieval
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In recent years, explosively-growing information makes the users confused in making decisions among various kinds of products such as music, movies, books, etc. As a result, it is a challenging issue to help the user identify what she/he prefers. To this end, so called recommender systems are proposed to discover the implicit interests in user's mind based on the usage logs. However, the existing recommender systems suffer from the problems of cold-start, first-rater, sparsity and scalability. To alleviate such problems, we propose a novel recommender, namely FRSA (Fusion of Rough-Set and Average-category-rating) that integrates multiple contents and collaborative information to predict user's preferences based on the fusion of Rough-Set and Average-category-rating. Through the integrated mining of multiple contents and collaborative information, our proposed recommendation method can successfully reduce the gap between the user's preferences and the automated recommendations. The empirical evaluations reveal that the proposed method, FRSA, can associate the recommended items with user's interests more effectively than other existing well-known ones in terms of accuracy.