Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
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
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Adaptive interfaces for ubiquitous web access
Communications of the ACM - The Adaptive Web
Modern Information Retrieval
Recommendation systems: a probabilistic analysis
Journal of Computer and System Sciences - Special issue on Internet algorithms
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Finding Localized Associations in Market Basket Data
IEEE Transactions on Knowledge and Data Engineering
Collaborative Filtering Using Weighted Majority Prediction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Collaborative filtering via gaussian probabilistic latent semantic analysis
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
An MDP-Based Recommender System
The Journal of Machine Learning Research
CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
IEEE Intelligent Systems
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
IEEE Intelligent Systems
New Recommendation Techniques for Multicriteria Rating Systems
IEEE Intelligent Systems
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
A time-based approach to effective recommender systems using implicit feedback
Expert Systems with Applications: An International Journal
Applications of wavelet data reduction in a recommender system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Website browsing aid: A navigation graph-based recommendation system
Decision Support Systems
A semantic-expansion approach to personalized knowledge recommendation
Decision Support Systems
A collaborative filtering-based approach to personalized document clustering
Decision Support Systems
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
An iterative semi-explicit rating method for building collaborative recommender systems
Expert Systems with Applications: An International Journal
Multidimensional credibility model for neighbor selection in collaborative recommendation
Expert Systems with Applications: An International Journal
Two-way cooperative prediction for collaborative filtering recommendations
Expert Systems with Applications: An International Journal
Handling sequential pattern decay: Developing a two-stage collaborative recommender system
Electronic Commerce Research and Applications
A hybrid recommendation technique based on product category attributes
Expert Systems with Applications: An International Journal
Personalized Recommendation over a Customer Network for Ubiquitous Shopping
IEEE Transactions on Services Computing
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Information Sciences: an International Journal
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Distributed recommender for peer-to-peer knowledge sharing
Information Sciences: an International Journal
A hybrid collaborative filtering recommendation mechanism for P2P networks
Future Generation Computer 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
Providing Justifications in Recommender Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Knowledge-Based Systems
Exploiting two-faceted web of trust for enhanced-quality recommendations
Expert Systems with Applications: An International Journal
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Many online shopping malls in which explicit rating information is not available still have difficulty in providing recommendation services using collaborative filtering (CF) techniques for their users. Applying temporal purchase patterns derived from sequential pattern analysis (SPA) for recommendation services also often makes users unhappy with the inaccurate and biased results obtained by not considering individual preferences. The objective of this research is twofold. One is to derive implicit ratings so that CF can be applied to online transaction data even when no explicit rating information is available, and the other is to integrate CF and SPA for improving recommendation quality. Based on the results of several experiments that we conducted to compare the performance between ours and others, we contend that implicit rating can successfully replace explicit rating in CF and that the hybrid approach of CF and SPA is better than the individual ones.