Fuzzy queries in multimedia database systems
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Enriching buyers' experiences: the SmartClient approach
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Evaluating example-based search tools
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Increasing user decision accuracy using suggestions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The lookahead principle for preference elicitation: experimental results
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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Preference-based search is the problem of finding an item thatmatches best with a user's preferences. User studies show that example-based tools for preference-based search can achievesignificantly higher accuracy when they are complemented withsuggestions chosen to inform users about the available choices. We discuss how suggestions can be efficiently implemented even for large product databases.