Rank Aggregation Methods for the Web Export

@proceedings{citeulike:343405, abstract = {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.}, author = {Dwork, Cynthia and Kumar, Ravi and Naor, Moni and Sivakumar, D.}, booktitle = {WWW10}, citeulike-article-id = {343405}, citeulike-linkout-0 = {http://www10.org/cdrom/papers/577/}, keywords = {ranking, voting}, posted-at = {2009-05-04 14:48:14}, priority = {0}, title = {Rank Aggregation Methods for the Web}, url = {http://www10.org/cdrom/papers/577/} }

TY - CONF ID - citeulike:343405 L3 - citeulike-article-id:343405 N2 - 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. TI - Rank Aggregation Methods for the Web T2 - WWW10 KW - ranking KW - voting AU - Dwork, Cynthia AU - Kumar, Ravi AU - Naor, Moni AU - Sivakumar, D UR - http://www10.org/cdrom/papers/577/ ER -