Rank Aggregation Methods for the Web

 Cynthia Dwork      Ravi Kumar      Moni Naor     D. Sivakumar


We consider the problem of combining ranking results from various sources. In the context of the Web, the main applications include building meta-search engines, combining ranking functions, selecting documents based on multiple criteria, and improving search precision through word associations. We develop a set of techniques for the rank aggregation problem and compare their performance to that of well-known methods. A primary goal of our work is to design  rank aggregation techniques that can effectively combat "spam," a serious problem in Web searches. Experiments show that our methods are simple, efficient, and effective.

HTML, PDF Slides (ps, by . Sivakumar)

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