Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Introduction: personalized views of personalization
Communications of the ACM
The entropy change of fuzzy numbers with arithmetic operations
Fuzzy Sets and Systems
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Marketing Engineering: Computer-Assisted Marketing Analysis and Planning
Marketing Engineering: Computer-Assisted Marketing Analysis and Planning
User Modeling and User-Adapted Interaction
A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web
User Modeling and User-Adapted Interaction
Fuzzy Linguistic Summaries in Rule-Based Adaptive Hypermedia Systems
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Aggregation operators: properties, classes and construction methods
Aggregation operators
WSEAS Transactions on Information Science and Applications
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Relationship marketing strategies focus on the construction and maintenance of tailored relationship with customers. Consequently, electronic commerce systems following the relationship approach may benefit from Web personalization techniques in tailoring the interaction with its users according to an evolving customer model. In this context, relationship-value market segmentation becomes a central customer modeling activity. But value segmentation categories are inherently vague due to the use of imprecise linguistic categories, combined with a degree of uncertainty about customer behavior, and the difficulty inherent to estimating intangible variables. In this paper, a fuzzy approach to value segmentation is described, allowing more flexible customer segments. Fuzzy models of value estimations are represented by fuzzy triangular numbers, and two segmentation approaches, directed and discovery-oriented are briefly described. The usefulness of the approach is then illustrated through concrete personalization techniques based on those fuzzy categories.