Simrank++: Query rewriting through link analysis of the click graph

dc.creatorAntonellis, Ioannis
dc.creatorGarcia-Molina, Hector
dc.creatorChang, Chi-Chao
dc.date2007-12-04
dc.date.accessioned2026-07-07T08:47:13Z
dc.date.available2026-07-07T08:47:13Z
dc.descriptionWe 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 version 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 form Yahoo!, and using a variety of metrics. Our results show that the enhanced methods can yield more and better query rewrites.
dc.descriptionAvailable via http://dbpubs.stanford.edu/pub/2007-32
dc.identifierhttps://arxiv.org/abs/0712.0499
dc.identifierhttp://arxiv.org/abs/0712.0499
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/143518
dc.subjectDigital Libraries
dc.subjectDatabases
dc.subjectInformation Retrieval
dc.titleSimrank++: Query rewriting through link analysis of the click graph
dc.typetext

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