Performance Evaluation of search engines via user effort measures
Many metrics exist to perform the task of search engine
evaluation that are either looking for the experts judgments or
believe in searchers decisions about the relevancy of the web
documents. However, search logs can provide us information
about how real users search. This paper explains, our attempts to
incorporate the users searching behavior in formulation of user
efforts centric evaluation metric. We also incorporate two
dimensional users traversing approach in the ERR metric. After
the formulation of the evaluation metric, authors judge its
goodness and found that presented metric fulfills all the
requirements that are needed for a metric to be mathematically
accurate. The findings obtained from experiments, present a
complete description for search engine evaluation procedure.
Keywords: Information retrieval, Search engine performance,
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ABOUT THE AUTHORS
Rajesh Kumar Goutam
Research Scholar in Department of computer Science at Babasaheb Bhimrao Ambedkar University, Lucknow - 226025 (U.P.) India.
Sanjay K. Dwivedi
Associate professor, Department of computer science at Babasaheb Bhimrao Ambedkar University, Lucknow 226025 (U.P.) India. His research interest is in Artificial Intelligence, web Mining, NLP and sense disambiguation etc.
Rajesh Kumar Goutam
Research Scholar in Department of computer Science at Babasaheb Bhimrao Ambedkar University, Lucknow - 226025 (U.P.) India.
Sanjay K. Dwivedi
Associate professor, Department of computer science at Babasaheb Bhimrao Ambedkar University, Lucknow 226025 (U.P.) India. His research interest is in Artificial Intelligence, web Mining, NLP and sense disambiguation etc.
