Name
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 [7] 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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.14778/1453856.1453903 | Clinical Orthopaedics and Related Research |
Keywords | DocType | Volume |
historical click graph,query q,click graph,past user query,link analysis,actual click graph,similarity metric,enhanced version,sponsored search,new scheme,enhanced method,query similarity,better query rewrite,click graph edge,data mining,digital libraries | Journal | 1 |
Issue | ISSN | Citations |
1 | 2150-8097 | 110 |
PageRank | References | Authors |
3.55 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioannis Antonellis | 1 | 151 | 7.89 |
| Héctor García-Molina | 2 | 24359 | 5652.13 |
| Chi-chao Chang | 3 | 414 | 31.02 |