Recommender systems for evaluating computer messages
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Intelligent profiling by example
Proceedings of the 6th international conference on Intelligent user interfaces
Characterizing the scalability of a large web-based shopping system
ACM Transactions on Internet Technology (TOIT)
Intelligent analysis of user interactions with web applications
Proceedings of the 7th international conference on Intelligent user interfaces
Machine Learning
Declarative specification of Web sites with S
The VLDB Journal — The International Journal on Very Large Data Bases
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Hi-index | 0.00 |
Specifying an adaptive web site so that visitor experience is personalized based on context is a complex task. In this paper, we focus on the business manager responsible for an adaptive web site who wishes to measure and manage the effectiveness of personalization. We show how the essential information critical to these tasks can be captured and linked by mapping business domain facts to discrete integer values. The advantage of such an approach is twofold. First, it creates a simple, but generic foundation for specifying personalization in terms familiar and usable by a businessperson. Second, it establishes a statistical framework in which personalization can be measured and trials performed.