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Evaluating implicit measures to improve web search

by: Steve Fox, Kuldeep Karnawat, Mark Mydland, Susan Dumais, Thomas White
ACM Trans. Inf. Syst., Vol. 23, No. 2. (April 2005), pp. 147-168.


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ChaTo さんは全部で 0 非公開 + 1 公開 のメモを書いています.

Models user satisfaction with a query or with an entire search trail using features extracted by instrumenting the browser.

Potential useful implicit feedback includes: examination (looking at a page), retention (bookmarking a page), and reference from [Oaard and Kim 1998]. Features included dwelling time, scrolls, position of a click in the result set, exit type, image count in target page, etc.

Two important features are dwelling time and exit-type. Printing and bookmarking are correlated with satisfaction too but they are very rare.

Also uses "gene analysis" (similar to the general patterns of [Catledge and Pitkow 1995]). These are general patterns such as query-resultspage-click-resultspage-click-exit or query-resultspage-click-exit. A single query-resultspage-click-exit is a good predictor of satisfaction.

ChaTo (公開 ) - 2008-07-10 13:58:24

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