GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Let's browse: a collaborative Web browsing agent
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Automatic personalization based on Web usage mining
Communications of the ACM
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
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Latent Class Models for Collaborative Filtering
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Feature Weighting and Instance Selection for Collaborative Filtering
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth 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
Utilizing Popularity Characteristics for Product Recommendation
International Journal of Electronic Commerce
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Individual and group behavior-based customer profile model for personalized product recommendation
Expert Systems with Applications: An International Journal
Consideration sets in online shopping environments: the effects of search tool and information load
Electronic Commerce Research and Applications
Selecting a small number of products for effective user profiling in collaborative filtering
Expert Systems with Applications: An International Journal
Improving memory-based collaborative filtering via similarity updating and prediction modulation
Information Sciences: an International Journal
RCCtrust: A combined trust model for electronic community
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
Mobile commerce product recommendations based on hybrid multiple channels
Electronic Commerce Research and Applications
SimRate: improve collaborative recommendation based on rating graph for sparsity
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Electronic Commerce Research and Applications
A timeline-based algorithm for personalized tag recommendation
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Fusing Recommendations for Social Bookmarking Web Sites
International Journal of Electronic Commerce
Collaborative Filtering with a User-Item Matrix Reduction Technique
International Journal of Electronic Commerce
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Journal of Management Information Systems
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm
International Journal of Business Information Systems
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Collaborative filtering is used in recommender systems and e-commerce both to help customers find items they want to buy and to help businesses prepare goods they will offer. The k-Nearest Neighbor (KNN) method plays a central role in collaborative filtering by finding the k-nearest neighbors for a given user and employing them to predict the user's interests. This method suffers from problems of sparsity and nonscalability due to the sparseness of the user-item data set and the entire scan of such a data set in search of neighbors. These problems are solved with a matrix conversion method for compressing items into classes and an instance-selection method to narrow the scope of neighbor searching. The matrix conversion method avoids the "cold start" problem and makes predictions more accurate. The instance-selection method improves the performance of prediction without sacrificing accuracy. Combining these two methods results in better accuracy and performance.