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.
Search engine switching
Allison P. Heath Ryen W. White
Rice University 6100 Main Street Houston, TX 77054 Microsoft Research One Microsoft Way Redmond, WA 98052
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21(万方平台首次上网日期,不代表论文的发表时间)