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Human Computer Interaction for Effective Metasearching
Abstract
Metasearching is the process of combining search results of different search systems into a single set of ranked results which, in turn, is expected to provide us the collective benefit of using each of the participating search systems. Since, user is the direct beneficiary of the search results; this motivates the researchers in the field of Human Computer Interaction (HCI) to measure user satisfaction. A user is satisfied if he receives good quality search results in response to his query. To measure user satisfaction, we need to obtain feed back from user. This feedback might also be used to improve the quality of metasearching. The authors discuss the design of a metasearch system that is based on human computer interaction. We compare our method with two other methods Borda’s method and modified Shimura technique. The authors use Spearman’s footrule distance as the measure of comparison. Experimentally, the method performs better than the Borda’s method. The authors argue that the method is significant as it models the user feedback based metasearching and has spam-fighting capabilities.
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