Abstract

In view of the recent progress in the field of internet search engines, there is a growing need for mechanisms to evaluate the performance of these useful and popular tools. So far, the vast majority of researchers have relied on the information-retrieval metrics of "precision" and "recall" that quantify the occurrence of "hits" and "misses" in the returned list of documents. What they fail to do is to measure the quality of the ranking that the search engine has provided. This paper wants to rectify the situation. We discuss the issue in some detail, and then propose a new mechanism that we believe is better suited for our needs.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.