Sciweavers

SIGIR
2005
ACM

Automated evaluation of search engine performance via implicit user feedback

14 years 22 days ago
Automated evaluation of search engine performance via implicit user feedback
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user feedback for search engine evaluation provides a cost and time effective manner of addressing this problem. Web search engines can use human evaluation of search results without the expense of human evaluators. An additional advantage of this approach is the availability of real time data regarding system performance. We capture user relevance judgments actions such as print, save and bookmark, sending these actions and the corresponding document identifiers to a central server via a client application. We use this implicit feedback to calculate performance metrics, such as precision. We can calculate an overall system performance metric based on a collection of weighted metrics. Categories and Subject Descriptors H.3.3 [1] Information Search and Retrieval – relevance feedback General Terms Performance, Des...
Himanshu Sharma, Bernard J. Jansen
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where SIGIR
Authors Himanshu Sharma, Bernard J. Jansen
Comments (0)