Rank aggregation methods for the Web

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 e ectively combat \spam," a serious problem in Web searches. Experiments show that our methods are simple, e cient, and e ective.

• Type: Conference
• Year: 2001
• Where: WWW
• Authors: Cynthia Dwork, Ravi Kumar, Moni Naor, D. Sivakumar
• Keywords: Internet Technology, Rank Aggregation Problem, Rank Aggregation Techniques, Ranking Functions, WWW 2001