Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
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
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
Personalization of Supermarket Product Recommendations
Data Mining and Knowledge Discovery
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A data mining approach to product assortment and shelf space allocation
Expert Systems with Applications: 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
Expert Systems with Applications: An International Journal
Estimating confidence intervals for structural differences between contrast groups with missing data
Expert Systems with Applications: An International Journal
A collaborative filtering method based on artificial immune network
Expert Systems with Applications: An International Journal
Collaborative filtering based on workflow space
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 of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Integrating knowledge flow mining and collaborative filtering to support document recommendation
Journal of Systems and Software
An inner-enterprise knowledge recommender system
Expert Systems with Applications: An International Journal
Recommender system based on workflow
Decision Support Systems
Knowledge flow-based document recommendation for knowledge sharing
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
A recommender system based on multi-features
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Research and design of a grid based electronic commerce recommendation system
Journal of Theoretical and Applied Electronic Commerce Research
A hybrid recommendation method with reduced data for large-scale application
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Web user browse behavior characteristic analysis based on a BC tree
AMT'10 Proceedings of the 6th international conference on Active media technology
Mobile commerce product recommendations based on hybrid multiple channels
Electronic Commerce Research and Applications
Collaboratively shared information retrieval model for e-learning
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Extraction of user profile based on workflow and information flow
Expert Systems with Applications: An International Journal
Mining the change of customer behavior in fuzzy time-interval sequential patterns
Applied Soft Computing
Difference detection between two contrast sets
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Mining knowledge demands from information flow
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
An implementation and evaluation of recommender systems for traveling abroad
Expert Systems with Applications: An International Journal
Incorporating frequency, recency and profit in sequential pattern based recommender systems
Intelligent Data Analysis
| Hi-index | 12.07 |
The preferences of customers change over time. However, existing collaborative filtering (CF) systems are static, since they only incorporate information regarding whether a customer buys a product during a certain period and do not make use of the purchase sequences of customers. Therefore, the quality of the recommendations of the typical CF could be improved through the use of information on such sequences. In this study, we propose a new methodology for enhancing the quality of CF recommendation that uses customer purchase sequences. The proposed methodology is applied to a large department store in Korea and compared to existing CF techniques. Various experiments using real-world data demonstrate that the proposed methodology provides higher quality recommendations than do typical CF techniques, with better performance, especially with regard to heavy users.