A hierarchical constraint satisfaction approach to product selection for electronic shopping support

Authors:
Y. U. Ryu
Affiliations:
Sch. of Manage., Texas Univ., Dallas, TX
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Year:
1999

Citing 0
Cited 9

A Foundation of Solution Methods for Constraint Hierarchies

Constraints
Agents in E-commerce: state of the art

Knowledge and Information Systems
A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments

Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Product classification in the internet business: a fuzzy approach

Decision Support Systems
Web based information for product ranking in e-business: a fuzzy approach

ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
A Recommender System Based on a Machine Learning Algorithm for B2C Portals

WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Applying case-based reasoning for product configuration in mass customization environments

Expert Systems with Applications: An International Journal
A Web-based personalized recommendation system for mobile phone selection: Design, implementation, and evaluation

Expert Systems with Applications: An International Journal
A highly adaptive recommender system based on fuzzy logic for B2C e-commerce portals

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

The development of advanced information and telecommunications technologies has established more convenient ways of interorganizational business transactions. Especially, various forms of electronic trading systems are introduced, which replicate, and often improve, functions of physical market places. We propose a product selection mechanism for such an electronic marketplace, which is viewed as a satisfaction problem of hierarchically organized constraints over product attributes. The proposed approach is more expressively powerful and flexible than product selection based on a single product taxonomy hierarchy