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
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
Managing information technology (IT) for one-to-one customer interaction
Information and Management
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Data mining for customer service support
Information and Management
Exploring the factors associated with Web site success in the context of electronic commerce
Information and Management
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
A music recommendation system based on music data grouping and user interests
Proceedings of the tenth international conference on Information and knowledge management
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Effect of store design on consumer purchases: an empirical study of on-line bookstores
Information and Management
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining inter-organizational retailing knowledge for an alliance formed by competitive firms
Information and Management
Journal of Systems and Software
A fuzzy model for competency-based employee evaluation and selection
Computers and Industrial Engineering
Computer assisted customer churn management: State-of-the-art and future trends
Computers and Operations Research
A design decision-making support model for customized product color combination
Computers in Industry
A DS-AHP approach for multi-attribute decision making problem with incomplete information
Expert Systems with Applications: An International Journal
Data mining from 1994 to 2004: an application-orientated review
International Journal of Business Intelligence and Data Mining
Context-based market basket analysis in a multiple-store environment
Decision Support Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The method for solving two types of errors in customer segmentation on unbalanced data
Proceedings of the 10th international conference on Electronic commerce
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
Expert Systems with Applications: An International Journal
A mathematical model for product selection strategies in a recommender system
Expert Systems with Applications: An International Journal
A collaborative filtering method based on artificial immune network
Expert Systems with Applications: An International Journal
A study on the applications of data mining techniques to enhance customer lifetime value
WSEAS Transactions on Information Science and Applications
A hybrid recommendation technique based on product category attributes
Expert Systems with Applications: An International Journal
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
The personalized recommendation with bundling strategy based on product consuming period
CIS'09 Proceedings of the international conference on Computational and information science 2009
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Customer requirements mapping method based on association rules mining for mass customisation
International Journal of Computer Applications in Technology
Online customers' cognitive differences and their impact on the success of recommendation agents
Information and Management
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
Price bundling for personalized recommendation
ISTASC'10 Proceedings of the 10th WSEAS international conference on Systems theory and scientific computation
A fuzzy expert system (FES) tool for online personnel recruitments
International Journal of Business Information Systems
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
Electronic Commerce Research and Applications
Expert Systems with Applications: An International Journal
Multi-criteria service recommendation based on user criteria preferences
Proceedings of the fifth ACM conference on Recommender systems
Electronic Commerce Research and Applications
Evaluation of new service concepts using rough set theory and group analytic hierarchy process
Expert Systems with Applications: An International Journal
A strategy-oriented operation module for recommender systems in E-commerce
Computers and Operations Research
Using AHP to determine intangible priority factors for technology transfer adoption
Expert Systems with Applications: An International Journal
Global data mining: An empirical study of current trends, future forecasts and technology diffusions
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
A diffusion mechanism for social advertising over microblogs
Decision Support Systems
Knowledge discovery of weighted RFM sequential patterns from customer sequence databases
Journal of Systems and Software
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Recommending social network applications via social filtering mechanisms
Information Sciences: an International Journal
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm
International Journal of Business Information Systems
Review: Soft computing applications in customer segmentation: State-of-art review and critique
Expert Systems with Applications: An International Journal
Fast K-means clustering using deletion by center displacement and norms product (CDNP)
Pattern Recognition and Image Analysis
International Journal of Business Information Systems
International Journal of Business Information Systems
QA document recommendations for communities of question-answering websites
Knowledge-Based Systems
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Product recommendation is a business activity that is critical in attracting customers. Accordingly, improving the quality of a recommendation to fulfill customers' needs is important in fiercely competitive environments. Although various recommender systems have been proposed, few have addressed the lifetime value of a customer to a firm. Generally, customer lifetime value (CLV) is evaluated in terms of recency, frequency, monetary (RFM) variables. However, the relative importance among them varies with the characteristics of the product and industry. We developed a novel product recommendation methodology that combined group decision-making and data mining techniques. The analytic hierarchy process (AHP) was applied to determine the relative weights of RFM variables in evaluating customer lifetime value or loyalty. Clustering techniques were then employed to group customers according to the weighted RFM value. Finally, an association rule mining approach was implemented to provide product recommendations to each customer group. The experimental results demonstrated that the approach outperformed one with equally weighted RFM and a typical collaborative filtering (CF) method.