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
Siteseer: personalized navigation for the Web
Communications of the ACM
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
Information Retrieval Systems: Theory and Implementation
Information Retrieval Systems: Theory and Implementation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
Interacting with Computers
Constraint-based sequential pattern mining: the consideration of recency and compactness
Decision Support Systems
Design of a shopbot and recommender system for bundle purchases
Decision Support Systems
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
Detection of the customer time-variant pattern for improving recommender systems
Expert Systems with Applications: An International Journal
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Discovering fuzzy time-interval sequential patterns in sequence databases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Analysis on repeat-buying patterns
Knowledge-Based Systems
Mobile commerce product recommendations based on hybrid multiple channels
Electronic Commerce Research and Applications
Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment
Journal of Management Information Systems
Mining the change of customer behavior in fuzzy time-interval sequential patterns
Applied Soft Computing
Effective next-items recommendation via personalized sequential pattern mining
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Electronic Commerce Research and Applications
A personalized trustworthy seller recommendation in an open market
Expert Systems with Applications: An International Journal
Knowledge discovery of weighted RFM sequential patterns from customer sequence databases
Journal of Systems and Software
Collective intelligence as mechanism of medical diagnosis: The iPixel approach
Expert Systems with Applications: An International Journal
Prediction of members' return visit rates using a time factor
Electronic Commerce Research and Applications
Utilizing user tag-based interests in recommender systems for social resource sharing websites
Knowledge-Based Systems
Incorporating frequency, recency and profit in sequential pattern based recommender systems
Intelligent Data Analysis
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This study proposes a sequential pattern based collaborative recommender system that predicts the customer's time-variant purchase behavior in an e-commerce environment where the customer's purchase patterns may change gradually. A new two-stage recommendation process is developed to predict customer purchase behavior for the product categories, as well as for product items. The time window weight is introduced to produce sequential patterns closer to the current time period that possess a larger impact on the prediction than patterns relatively far from the current time period. This study is the first to propose time-decaying sequential patterns within a collaborative recommender system. The experimental results show that the proposed system outperforms the traditional collaborative system using a public food mart dataset and a synthetic dataset.