document: Defection detection : predicting search engine switching Searchers have a choice about which Web search engine they use when looking for information online . If they are unsuccessful on one engine , users may switch to a different engine to continue their search . By predicting when switches are likely to occur , the search experience can be modified to retain searchers or ensure a quality experience for incoming searchers . In this poster , we present research on a technique for predicting search engine switches . Our findings show that prediction is possible at a reasonable level of accuracy , particularly when personalization or user grouping is employed . These findings have implications for the design of applications to support more effective online searching .
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