@inproceedings{ilprints870,
       booktitle = {34th International Conference on Very Large Data Bases (VLDB 2008)},
           month = {June},
           title = {Simrank++: Query Rewriting through Link Analysis of the Click Graph},
          author = {Ioannis Antonellis and Hector Garcia-Molina and Chi-Chao Chang},
            year = {2008},
            note = {conference version of publication 2007-32},
         journal = {34th International Conference on Very Large Data Bases (VLDB 2008), Auckland, New Zealand, 24-30, August, 2008},
        keywords = {simrank++, simrank, query rewriting, link analysis, sponsored search, advertising, click graph, click logs, wisdom of the crowds},
             url = {http://ilpubs.stanford.edu:8090/870/},
        abstract = {We focus on the problem of query rewriting for sponsored search. We base rewrites on a historical click graph that records the ads that have been clicked on in response to past user queries. Given a query q, we first consider Simrank as a way to identify queries similar to q, i.e., queries whose ads a user may be interested in. We argue that Simrank fails to properly identify query similarities in our application, and we present two enhanced versions of Simrank: one that exploits weights on click graph edges and another that exploits "evidence." We experimentally evaluate our new schemes against Simrank, using actual click graphs and queries from Yahoo!, and using a variety of metrics. Our results show that the enhanced methods can yield more and better query rewrites.}
}