A personalized offer presentation scheme for retail in-store applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3182, Issue , 2004, Pages 296-304

  Liu, Yew Huey ^a   Yih, Jih Shyr ^a   Chieu, Trieu C ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISPLAY DEVICES; ENGINES;

BUSINESS VALUE; COLLABORATIVE SHOPPING; EFFICIENT IMPLEMENTATION; KEYWORD-BASED; LAYOUT METHODS; PERSONAL MOBILE DEVICES; RULE PROCESSING; WIRELESS SHOPPING;

SALES;

EID: 35048892201     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30077-9_30     Document Type: Article

References (8)

1. Smart Store: Enhancing the retail customer's shopping experience, IBM Executive Technology Report. IBM Business Consulting Services (2003)
2. st ACM conference on Electronic commerce, 1999 (158-166)
3. nd ACM Conference on Electronic Commerce (2000)
4. Anupam, V., Hull, R,. Kumar, B.: Personalizing E-commerce applications with on-line heuristic decision making, Proceedings of the tenth international conference on World Wide Web (2001)
5. Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Effective personalization based on association rule discovery from web usage data, Proceeding of the third international workshop on Web information and data management (2001)
6. Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web, (2001)
7. Herlocker, J., Konstan, J. A., Terveen, L. G., Riedl, J. T.: Evaluating collaborative filtering recommender systems , ACM Transactions on Information Systems (TOIS), volume 22, Issue 1, (5-53)
8. Deshpande, M., Karypis, G.: Item-based Top-N recommendation algorithms, ACM Transactions on Information Systems (TOIS), Volume 22 Issue 1. (2004)