Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Future Generation Computer Systems - Special double issue on data mining
Automatic personalization based on Web usage mining
Communications of the ACM
Effective personalization based on association rule discovery from web usage data
Proceedings of the 3rd international workshop on Web information and data management
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Web usage mining: discovery and application of interesting patterns from web data
Web usage mining: discovery and application of interesting patterns from web data
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We introduce in this paper a problem only rarely taken under consideration in knowledge engineering: how to acquire the most information with a minimal associated cost. More precisely, the problem that we wish to address is the following: how to obtain the most information concerning an individual by begging him a limited number of questions. We refer to this problem as the "Who is it?" Problem in reference to the famous game of Hasbro for which the objective of the two players is exactly to solve this thorny issue. From a practical point of view, solving this problem may be extremely interesting in several fields and in particular in WWW related fields: customer/user profiling or clustering, web site personalization, creation of efficient questionnaires.