PUMA publications for /user/jaeschke/retrieval%20enginehttps://puma.uni-kassel.de/user/jaeschke/retrieval%20enginePUMA RSS feed for /user/jaeschke/retrieval%20engine2024-03-29T10:16:14+01:00Search engines: information retrieval in practicehttps://puma.uni-kassel.de/bibtex/26dbe8ff9de4f8b16c442247baf8abe73/jaeschkejaeschke2012-09-06T12:05:38+02:00engine information practice retrieval search <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="W. Bruce Croft" itemprop="url" href="/author/W.%20Bruce%20Croft"><span itemprop="name">W. Croft</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Donald Metzler" itemprop="url" href="/author/Donald%20Metzler"><span itemprop="name">D. Metzler</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Trevor Strohman" itemprop="url" href="/author/Trevor%20Strohman"><span itemprop="name">T. Strohman</span></a></span>. </span><em><span itemprop="publisher">Addison-Wesley</span>, </em><em>Boston, </em><em><span itemprop="bookEdition">1st</span> Edition, </em>(<em><span>Februar 2010<meta content="Februar 2010" itemprop="datePublished"/></span></em>)Thu Sep 06 12:05:38 CEST 2012Boston1stfebSearch engines: information retrieval in practice2010engine information practice retrieval search "Search Engines: Information Retrieval in Practice introduces the key issues in information retrieval (IR) and shows how they affect the design and implementation of search engines, with mathematical models reinforcing important concepts. This book is ideal for an introductory course on IR at either the undergraduate or master's level or for professionals seeking an authoritative introduction. An extensive set of resources is available to instructors."--BOOK JACKET.Logsonomy - Social Information Retrieval with Logdatahttps://puma.uni-kassel.de/bibtex/2e64d14f3207766f4afc65983fa759ffe/jaeschkejaeschke2011-01-27T12:08:28+01:002008 analysis engine information l3s logsonomy myown network retrieval search sna social wp5 <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Beate Krause" itemprop="url" href="/author/Beate%20Krause"><span itemprop="name">B. Krause</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia</span>, </em></span><em>Seite <span itemprop="pagination">157--166</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Thu Jan 27 12:08:28 CET 2011New York, NY, USAHT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia157--166Logsonomy - Social Information Retrieval with Logdata20082008 analysis engine information l3s logsonomy myown network retrieval search sna social wp5 Social bookmarking systems constitute an established part of the Web 2.0. In such systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Today’s search engines represent the gateway to retrieve information from the World Wide Web. Short queries typically consisting of two to three words describe a user’s information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance. This clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. The resulting network structure, which we will term logsonomy is very similar to the one of folksonomies. In order to find out about its properties, we analyze the topological characteristics of the tripartite hypergraph of queries, users and bookmarks on a large snapshot of del.icio.us and on query logs of two large search engines. All of the three datasets show small world properties. The tagging behavior of users, which is explained by preferential attachment of the tags in social bookmark systems, is reflected in the distribution of single query words in search engines. We can conclude that the clicking behaviour of search engine users based on the displayed search results and the tagging behaviour of social bookmarking users is driven by similar dynamics.