Name
Abstract | ||
|---|---|---|
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this work, we argue that not only a search engine can beneflt from data stored in these logs, but also the web users. We flrst show how clickthrough logs can be collected in a distributed fashion using the http referer fleld in web server access logs. We then perform a set of experiments to study the information value of search engine queries when treated as "tags" or "labels" for the web pages that both appear as a result and the user actually clicks on. We ask how much extra information these query tags provide for web pages by comparing them to tags from the del.icio.us bookmark- ing site and to the pagetext. We flnd that query tags can provide substantially many (on average 250 tags per URL), new tags (on average 125 tags per URL are not present in the pagetext) for a large fraction of the Web. Categories and Subject Descriptors |
Year | Venue | Keywords |
|---|---|---|
2009 | WSDM (Late Breaking-Results) | query logs,query tags,tagging,web navigation,web search,click logs,web pages,search engine,information value,design,human factors,web,information need |
Field | DocType | Citations |
Static web page,Web search engine,Web search query,World Wide Web,Web page,Information retrieval,Computer science,Web query classification,Rewrite engine,Web crawler,Spamdexing | Conference | 7 |
PageRank | References | Authors |
0.56 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioannis Antonellis | 1 | 151 | 7.89 |
| Héctor García-Molina | 2 | 24359 | 5652.13 |
| Jawed Karim | 3 | 25 | 1.95 |