http://www.bibsonomy.org/burst/user/beate/webBibSonomy BuRST Feed for /user/beate/web2008-11-18T10:54:28+01:00Detecting spam web pages through content analysishttp://www.bibsonomy.org/bibtex/2c93f4228fd8552bede071569cdaa1ad9/beatebeate2008-04-07T10:41:46+02:00features web spam <span style="color:#555555;">Alexandros <a href="http://www.bibsonomy.org/author/Ntoulas">Ntoulas</a> und Marc <a href="http://www.bibsonomy.org/author/Najork">Najork</a> und Mark <a href="http://www.bibsonomy.org/author/Manasse">Manasse</a> und Dennis <a href="http://www.bibsonomy.org/author/Fetterly">Fetterly</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>Seite83--92. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Mon Apr 07 10:41:46 CEST 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web83--92Detecting spam web pages through content analysis2006features web spam In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to influence the results from search engines, to drive traffic to certain pages for fun or profit. This paper considers some previously-undescribed techniques for automatically detecting spam pages, examines the effectiveness of these techniques in isolation and when aggregated using classification algorithms. When combined, our heuristics correctly identify 2,037 (86.2%) of the 2,364 spam pages (13.8%) in our judged collection of 17,168 pages, while misidentifying 526 spam and non-spam pages (3.1%).Detecting semantic cloaking on the webhttp://www.bibsonomy.org/bibtex/2696889b2eeda8dd8391c9c1ec156634b/beatebeate2008-04-07T10:24:05+02:00cloaking web spam <span style="color:#555555;">Baoning <a href="http://www.bibsonomy.org/author/Wu">Wu</a> und Brian D. <a href="http://www.bibsonomy.org/author/Davison">Davison</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>Seite819--828. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Mon Apr 07 10:24:05 CEST 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web819--828Detecting semantic cloaking on the web2006cloaking web spam By supplying different versions of a web page to search engines and to browsers, a content provider attempts to cloak the real content from the view of the search engine. Semantic cloaking refers to differences in meaning between pages which have the effect of deceiving search engine ranking algorithms. In this paper, we propose an automated two-step method to detect semantic cloaking pages based on different copies of the same page downloaded by a web crawler and a web browser. The first step is a filtering step, which generates a candidate list of semantic cloaking pages. In the second step, a classifier is used to detect semantic cloaking pages from the candidates generated by the filtering step. Experiments on manually labeled data sets show that we can generate a classifier with a precision of 93% and a recall of 85%. We apply our approach to links from the dmoz Open Directory Project and estimate that more than 50,000 of these pages employ semantic cloaking.DBLP Record 'conf/airweb/GanS07'http://www.bibsonomy.org/bibtex/24c12cfc5fe2fb8f5499847b025c5b4f6/beatebeate2008-03-01T20:54:11+01:00web spam <span style="color:#555555;">Qingqing <a href="http://www.bibsonomy.org/author/Gan">Gan</a> und Torsten <a href="http://www.bibsonomy.org/author/Suel">Suel</a> </span><em>AIRWeb, </em>(<em>2007</em>)Sat Mar 01 20:54:11 CET 2008AIRWebDBLP:conf/airweb/2007Improving Web Spam Classifiers Using Link Structure (S)2007web spam PeerSpectivehttp://www.bibsonomy.org/bibtex/28f6434e1f1306bda228f9c98fff04284/beatebeate2008-01-11T15:51:16+01:00social-network social-search web list <span style="color:#555555;">Krishna P. <a href="http://www.bibsonomy.org/author/Gummadi">Gummadi</a> und Alan <a href="http://www.bibsonomy.org/author/Mislove">Mislove</a> und Peter <a href="http://www.bibsonomy.org/author/Druschel">Druschel</a> </span><em>Proc. 5th Workshop on Hot Topics in Networks, </em><em>Seite79--84. </em><em>Irvine, CA, </em>(<em>2006</em>)Fri Jan 11 15:51:16 CET 2008Irvine, CAProc. 5th Workshop on Hot Topics in Networks79--84Exploiting Social Networks for Internet Search 2006social-network social-search web list Optimizing web search using web click-through datahttp://www.bibsonomy.org/bibtex/22c9841b484ade7e9a8c9220662190c16/beatebeate2007-12-02T15:19:06+01:00graph search click-data logbib web bipartite <span style="color:#555555;">Gui-Rong <a href="http://www.bibsonomy.org/author/Xue">Xue</a> und Hua-Jun <a href="http://www.bibsonomy.org/author/Zeng">Zeng</a> und Zheng <a href="http://www.bibsonomy.org/author/Chen">Chen</a> und Yong <a href="http://www.bibsonomy.org/author/Yu">Yu</a> und Wei-Ying <a href="http://www.bibsonomy.org/author/Ma">Ma</a> und WenSi <a href="http://www.bibsonomy.org/author/Xi">Xi</a> und WeiGuo <a href="http://www.bibsonomy.org/author/Fan">Fan</a> </span><em>CIKM '04: Proceedings of the thirteenth ACM international conference on Information and knowledge management, </em><em>Seite118--126. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2004</em>)Sun Dec 02 15:19:06 CET 2007New York, NY, USACIKM '04: Proceedings of the thirteenth ACM international conference on Information and knowledge management118--126Optimizing web search using web click-through data2004graph search click-data logbib web bipartite dblphttp://www.bibsonomy.org/bibtex/2ebb02db7e4152522e141fa55d01a48fb/beatebeate2007-09-03T14:29:35+02:00user-goals query search-behaviour web list <span style="color:#555555;">Daniel E. <a href="http://www.bibsonomy.org/author/Rose">Rose</a> und Danny <a href="http://www.bibsonomy.org/author/Levinson">Levinson</a> </span><em>Proceedings of the 13th international conference on World Wide Web, </em><em>Seite13-19. </em><em>ACM, </em>(<em>2004</em>)Mon Sep 03 14:29:35 CEST 2007Proceedings of the 13th international conference on World Wide Webconf/www/200413-19Understanding user goals in web search.2004user-goals query search-behaviour web list http://www.bibsonomy.org/bibtex/2dda5eea0e8a40d0c44a8798585b5388c/beatebeate2007-09-03T14:19:41+02:00ir pagerank survey web list <span style="color:#555555;">L. <a href="http://www.bibsonomy.org/author/Huang">Huang</a> </span><em>State University of New York, New York, </em>(<em>2000</em>)Mon Sep 03 14:19:41 CEST 2007A survey on web information retrieval technologies2000ir pagerank survey web list http://www.bibsonomy.org/bibtex/2c86549355475331f563d0a3ba7816dab/beatebeate2007-08-06T09:52:39+02:00ir hits search web list ranking <span style="color:#555555;">Jon M. <a href="http://www.bibsonomy.org/author/Kleinberg">Kleinberg</a> </span><em>Journal of the ACM</em><em>46(5):604--632</em>(<em>1999</em>)Mon Aug 06 09:52:39 CEST 2007Journal of the ACM5604--632Authoritative sources in a hyperlinked environment461999ir hits search web list ranking . The network structure of a hyperlinked environment can be a rich source of information about the content of the environment, provided we have effective means for understanding it. We develop a set of algorithmic tools for extracting information from the link structures of such environments, and report on experiments that demonstrate their effectiveness in a variety of contexts on the World Wide Web. The central issue we address within our framework is the distillation of broad search topics,...http://www.bibsonomy.org/bibtex/2176dd76861a72f1f3f8f8f810df23371/beatebeate2007-06-14T19:00:14+02:00search web list taxonomy <span style="color:#555555;">Andrei Z. <a href="http://www.bibsonomy.org/author/Broder">Broder</a> </span><em>SIGIR Forum</em><em>36(2):3-10</em>(<em>2002</em>)Thu Jun 14 19:00:14 CEST 2007SIGIR Forum23-10A taxonomy of web search.362002search web list taxonomy Identifying "best bet" web search results by mining past user behaviorhttp://www.bibsonomy.org/bibtex/28b6ab02df241053f7f7c48a900d2665f/beatebeate2007-06-12T09:26:19+02:00search best-bet web ranking <span style="color:#555555;">Eugene <a href="http://www.bibsonomy.org/author/Agichtein">Agichtein</a> und Zijian <a href="http://www.bibsonomy.org/author/Zheng">Zheng</a> </span><em>KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, </em><em>Seite902--908. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2006</em>)Tue Jun 12 09:26:19 CEST 2007New York, NY, USAKDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining902--908Identifying "best bet" web search results by mining past user behavior2006search best-bet web ranking The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special handling of the top web search result for some queries. We propose an effective approach of leveraging millions of past user interactions with a web search engine to automatically detect "best bet" top results preferred by majority of users. Interestingly, this problem can be more effectively addressed with classification than using state-of-the-art general ranking methods. Furthermore, we show that our general machine learning approach achieves precision comparable to a heavily tuned, domain-specific algorithm, with significantly higher coverage. Our experiments over millions of user interactions for thousands of queries demonstrate the effectiveness and robustness of our techniques.On the community-based explanation of search resultshttp://www.bibsonomy.org/bibtex/26da2d3974c61b3bf3e40548d769f9a26/beatebeate2007-06-11T14:13:28+02:00collaboration personalization search community social-search web <span style="color:#555555;">Maurice <a href="http://www.bibsonomy.org/author/Coyle">Coyle</a> und Barry <a href="http://www.bibsonomy.org/author/Smyth">Smyth</a> </span><em>IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces, </em><em>Seite282--285. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2007</em>)Mon Jun 11 14:13:28 CEST 2007New York, NY, USAIUI '07: Proceedings of the 12th international conference on Intelligent user interfaces282--285On the community-based explanation of search results2007collaboration personalization search community social-search web Collaborative Web search (CWS) is an approach to personalizing search results, returned by an underlying search engine(s), to the preferences of a community of like-minded searchers. In this paper we propose an alternative architecture that facilitates a more flexible integration between CWS and the underlying search engine(s) and evaluate how community behaviour can be used to annotate search results with explanatory information to facilitate relevancy judgments.Automatic identification of user goals in Web searchhttp://www.bibsonomy.org/bibtex/2557e99c25784e2077f748eb7269d0f49/beatebeate2007-05-29T19:48:23+02:00user-goals query search-behaviour web <span style="color:#555555;">Uichin <a href="http://www.bibsonomy.org/author/Lee">Lee</a> und Zhenyu <a href="http://www.bibsonomy.org/author/Liu">Liu</a> und Junghoo <a href="http://www.bibsonomy.org/author/Cho">Cho</a> </span><em>WWW '05: Proceedings of the 14th international conference on World Wide Web, </em><em>Seite391--400. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2005</em>)Tue May 29 19:48:23 CEST 2007New York, NY, USAWWW '05: Proceedings of the 14th international conference on World Wide Web391--400Automatic identification of user goals in Web search2005user-goals query search-behaviour web Scaling personalized web searchhttp://www.bibsonomy.org/bibtex/2d766f3c5971e3fbbf5e2be8fc9cd3a69/beatebeate2007-02-22T14:06:54+01:00personalization pagerank search web <span style="color:#555555;">Glen <a href="http://www.bibsonomy.org/author/Jeh">Jeh</a> und Jennifer <a href="http://www.bibsonomy.org/author/Widom">Widom</a> </span><em>WWW '03: Proceedings of the 12th international conference on World Wide Web, </em><em>Seite271--279. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2003</em>)Thu Feb 22 14:06:54 CET 2007New York, NY, USAWWW '03: Proceedings of the 12th international conference on World Wide Web271--279Scaling personalized web search2003personalization pagerank search web