Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
An investigation on a community's web search variability
ACSC '08 Proceedings of the thirty-first Australasian conference on Computer science - Volume 74
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There are many proposed methods for using clickthrough data for common queries to improve the quality of search results returned for that query. In this study we examine the search behaviour of users in a close-knit community on such queries. We argue that the benefit of using aggregated clickthrough data varies from task to task: it may improve document rankings for navigational or specific informational queries, but is less likely to be of value to users issuing a broad informational query.