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Tagging with Queries: How and Why?

by: Ioannis Antonellis, Hector Garcia-Molina, and Jawed Karim

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http://www.wsdm2009.org/wsdm2009_antonellis.pdf

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 benefit from data stored in these logs, but also the web users. We first show how clickthrough logs can be collected in a distributed fashion using the http referer field 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 bookmarking site and to the pagetext. We find 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.

In: WSDM Late Breaking-Results New York, NY, USA: ACM (2009) .

@inproceedings{antonellis2009tagging,
  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 benefit from data stored in these logs, but also the web users. We first show how clickthrough logs can be collected in a distributed fashion using the http referer field 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 bookmarking site and to the pagetext. We find 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.},
  added-at = {2010-07-23T16:57:52.000+0200},
  address = {New York, NY, USA},
  author = {Antonellis, Ioannis and Garcia-Molina, Hector and Karim, Jawed},
  biburl = {http://www.bibsonomy.org/bibtex/270539954a20f7d03a1f21764ff62c0ff/beate},
  booktitle = {WSDM (Late Breaking-Results)},
  crossref = {conf/wsdm/2009},
  editor = {Baeza-Yates, Ricardo A. and Boldi, Paolo and Ribeiro-Neto, Berthier A. and Cambazoglu, Berkant Barla},
  interhash = {d7009d789ebc4efe38749a1078a06086},
  intrahash = {70539954a20f7d03a1f21764ff62c0ff},
  isbn = {978-1-60558-390-7},
  keywords = {},
  publisher = {ACM},
  title = {Tagging with Queries: How and Why?},
  url = {http://www.wsdm2009.org/wsdm2009_antonellis.pdf},
  year = 2009
}

%0 Conference Paper
%1 antonellis2009tagging
%A Antonellis, Ioannis
%A Garcia-Molina, Hector
%A Karim, Jawed
%B WSDM (Late Breaking-Results)
%@ 978-1-60558-390-7
%C New York, NY, USA
%D 2009
%E Baeza-Yates, Ricardo A.
%E Boldi, Paolo
%E Ribeiro-Neto, Berthier A.
%E Cambazoglu, Berkant Barla
%I ACM
%K 
%T Tagging with Queries: How and Why?
%U http://www.wsdm2009.org/wsdm2009_antonellis.pdf
%X 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 benefit from data stored in these logs, but also the web users. We first show how clickthrough logs can be collected in a distributed fashion using the http referer field 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 bookmarking site and to the pagetext. We find 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.

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