PUMA publications for /author/Ioannis%20Antonellishttps://puma.uni-kassel.de/author/Ioannis%20AntonellisPUMA RSS feed for /author/Ioannis%20Antonellis2024-03-19T07:25:25+01:00Navigating the Web with Query Tagshttps://puma.uni-kassel.de/bibtex/2defb921ef0fc05065943e008cce6dd0e/benzbenz2011-03-23T23:23:06+01:00navigation folksonomies tags query_tags <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ioannis Antonellis" itemprop="url" href="/author/Ioannis%20Antonellis"><span itemprop="name">I. Antonellis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jawed Karim" itemprop="url" href="/author/Jawed%20Karim"><span itemprop="name">J. Karim</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hector Garcia-Molina" itemprop="url" href="/author/Hector%20Garcia-Molina"><span itemprop="name">H. Garcia-Molina</span></a></span>. </span><em><span itemprop="educationalUse">Technical Report</span>, </em><em><span itemprop="producer">Stanford University</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Mar 23 23:23:06 CET 2011Navigating the Web with Query TagsTechnical Report2011navigation folksonomies tags query_tags We propose to integrate various pieces of information about a web page (search queries, social annotations, terms extracted from the pagetext) into a navigational menu. This menu displays an auxiliary set of tags (navigational tags) selected with the goal of helping user navigation. We propose a novel framework (navigational utility) for comparing different tag selection methods. We also investigate which source of tags is more suitable for our scenario and we conclude that tags extracted from search queries (query tags) are more appropriate.Tagging with Queries: How and Why?https://puma.uni-kassel.de/bibtex/270539954a20f7d03a1f21764ff62c0ff/benzbenz2011-02-04T16:10:09+01:00tagging search_engine logsonomy <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ioannis Antonellis" itemprop="url" href="/author/Ioannis%20Antonellis"><span itemprop="name">I. Antonellis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hector Garcia-Molina" itemprop="url" href="/author/Hector%20Garcia-Molina"><span itemprop="name">H. Garcia-Molina</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jawed Karim" itemprop="url" href="/author/Jawed%20Karim"><span itemprop="name">J. Karim</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">WSDM (Late Breaking-Results)</span>, </em></span><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Fri Feb 04 16:10:09 CET 2011New York, NY, USAWSDM (Late Breaking-Results)conf/wsdm/2009Tagging with Queries: How and Why?2009tagging search_engine logsonomy 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 pagesby 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.Tagging with Queries: How and Why?https://puma.uni-kassel.de/bibtex/270539954a20f7d03a1f21764ff62c0ff/jaeschkejaeschke2009-10-16T10:26:15+02:00tagging engine query-log-analysis logsonomy search <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ioannis Antonellis" itemprop="url" href="/author/Ioannis%20Antonellis"><span itemprop="name">I. Antonellis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hector Garcia-Molina" itemprop="url" href="/author/Hector%20Garcia-Molina"><span itemprop="name">H. Garcia-Molina</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jawed Karim" itemprop="url" href="/author/Jawed%20Karim"><span itemprop="name">J. Karim</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">WSDM (Late Breaking-Results)</span>, </em></span><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Fri Oct 16 10:26:15 CEST 2009New York, NY, USAWSDM (Late Breaking-Results)conf/wsdm/2009Tagging with Queries: How and Why?2009tagging engine query-log-analysis logsonomy search 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.Tagging with Queries: How and Why?https://puma.uni-kassel.de/bibtex/270539954a20f7d03a1f21764ff62c0ff/stummestumme2009-10-14T15:20:54+02:00tagging folksonomies queries social folksonomy logsonomies <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ioannis Antonellis" itemprop="url" href="/author/Ioannis%20Antonellis"><span itemprop="name">I. Antonellis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hector Garcia-Molina" itemprop="url" href="/author/Hector%20Garcia-Molina"><span itemprop="name">H. Garcia-Molina</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jawed Karim" itemprop="url" href="/author/Jawed%20Karim"><span itemprop="name">J. Karim</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">WSDM (Late Breaking-Results)</span>, </em></span><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Wed Oct 14 15:20:54 CEST 2009WSDM (Late Breaking-Results)conf/wsdm/2009Tagging with Queries: How and Why?2009tagging folksonomies queries social folksonomy logsonomies dblp