Aggregating Subjective Measure of Web Search Quality with Boolean Similarity Measures

Ali, Rashid; Sufyan Beg, M. M.
July 2007
ICFAI Journal of Computer Sciences;2007, Vol. 1 Issue 1, p25
Academic Journal
In this paper an effort has been put forward to present a comprehensive evaluation system for web search results. The search results from the user, i.e., the "satisfaction", have been taken into consideration. The feedback of the user is inferred from observing the actions of the user on the search results presented before him in response to his query, rather than by form filling method. The implicit ranking given by the user is then compared with the original ranking given by the search engine and a correlation coefficient is obtained. Then, the Boolean similarity measure is used to compute the similarity of the documents selected by the user to that of the query and thus a new ranking of the documents based on the similarity measure is obtained. This ranking is also compared with the original ranking given by the search engine and the correlation coefficient thus obtained is averaged with that obtained using the user feedback. The procedure is repeated for a set of queries. A simplified version of the well-known Boolean similarity measure is proposed.


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