Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
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
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Self-Organizing Maps
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Data Mining and Knowledge Discovery
Ganging up on Information Overload
Computer
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Systems support for scalable data mining
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A case study in pervasive retail
WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Meta-recommendation systems: user-controlled integration of diverse recommendations
Proceedings of the eleventh international conference on Information and knowledge management
Applications of Data Mining to Electronic Commerce
Data Mining and Knowledge Discovery
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
A New Approach for Item Choice Recommendations
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Series of Dynamic Targeted Recommendations
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
Mining Relationship Graphs for Effective Business Objectives
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
A Customer Purchase Incidence Model Applied to Recommender Services
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Alice: Assisting Online Shoppers through Ontologies and Novel Interface Metaphors
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Developing Consumer-Friendly Pervasive Retail Systems
IEEE Pervasive Computing
The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Supporting online shopping through a combination of ontologies and interface metaphors
International Journal of Human-Computer Studies
Technology supporting business solutions
Collaborative filtering supporting web site navigation
AI Communications
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Collaborative Filtering Supporting Web Site Navigation
AI Communications
VCR: Virtual community recommender using the technology acceptance model and the user's needs type
Expert Systems with Applications: An International Journal
Mobile Identity Management: An Enacted View
International Journal of Electronic Commerce
ACM Transactions on Information Systems (TOIS)
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
Using ontology network analysis for research document recommendation
Expert Systems with Applications: An International Journal
Content-based personalised recommendation in virtual shopping environment
International Journal of Business Intelligence and Data Mining
Mining preferences from superior and inferior examples
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Using contextual information and multidimensional approach for recommendation
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
Proceedings of the 11th International Conference on Electronic Commerce
Grocery Product Recommendations from Natural Language Inputs
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Electronic Commerce Research and Applications
Commodity recommendations of retail business based on decisiontree induction
Expert Systems with Applications: An International Journal
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Feature-based recommendations for one-to-one marketing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Intelligent food planning: personalized recipe recommendation
Proceedings of the 15th international conference on Intelligent user interfaces
Mining Indirect Association Rules for Web Recommendation
International Journal of Applied Mathematics and Computer Science
Mining the customer's up-to-moment preferences for e-commerce recommendation
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
School e-Guide: a personalized recommender system for e-learning environments
Proceedings of the First Kuwait Conference on e-Services and e-Systems
A Neural Network Hybrid Recommender System
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
Product matching algorithm for cooperative commerce model
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Recommender system based on click stream data using association rule mining
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Collaborative Filtering with a User-Item Matrix Reduction Technique
International Journal of Electronic Commerce
A personalized product recommender for web retailers
AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Research on personalized knowledge service system in community e-learning
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
An implementation and evaluation of recommender systems for traveling abroad
Expert Systems with Applications: An International Journal
Designing a user interface to manage recommendations in virtual learning communities
International Journal of Web Based Communities
A personalized trustworthy seller recommendation in an open market
Expert Systems with Applications: An International Journal
Modeling and Analyzing User Contexts for Mobile Advertising
International Journal of Handheld Computing Research
Learning theory analysis for association rules and sequential event prediction
The Journal of Machine Learning Research
Incorporating frequency, recency and profit in sequential pattern based recommender systems
Intelligent Data Analysis
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We describe a personalized recommender system designed to suggest new products to supermarket shoppers. The recommender functions in a pervasive computing environment, namely, a remote shopping system in which supermarket customers use Personal Digital Assistants (PDAs) to compose and transmit their orders to the store, which assembles them for subsequent pickup. The recommender is meant to provide an alternative source of new ideas for customers who now visit the store less frequently. Recommendations are generated by matching products to customers based on the expected appeal of the product and the previous spending of the customer. Associations mining in the product domain is used to determine relationships among product classes for use in characterizing the appeal of individual products. Clustering in the customer domain is used to identify groups of shoppers with similar spending histories. Cluster-specific lists of popular products are then used as input to the matching process.The recommender is currently being used in a pilot program with several hundred customers. Analysis of results to date have shown a 1.8% boost in program revenue as a result of purchases made directly from the list of recommended products. A substantial fraction of the accepted recommendations are from product classes new to the customer, indicating a degree of willingness to expand beyond present purchase patterns in response to reasonable suggestions.