http://www.bibsonomy.org/rss/user/hotho/spamBibSonomy RSS Feed for /user/hotho/spamhttp://plg1.cs.uwaterloo.ca/cgi-bin/cgiwrap/gvcormac/foo07hotho2010-08-16T14:03:26+02:00dataset spam trec http://www.technologyreview.com/web/23100/hotho2009-07-31T18:05:09+02:00bookmarking detection social spam Social Spam Detectionhttp://givealink.org/Site/socialspam.htmlhotho2009-04-01T17:04:55+02:00detection dataset classification bibsonomy spam Social Spam Detectionhttp://heymann.stanford.edu/tagspam.htmlhotho2009-02-20T16:24:01+01:00? folksonomy model spam tagging http://www.yr-bcn.es/webspam/datasets/hotho2007-07-19T01:15:17+02:00dataset detection spam webspam http://recaptcha.net/hotho2007-07-17T17:45:25+02:00capture service spam stop web http://www.ecmlpkdd2006.org/challenge.htmlhotho2007-05-18T20:38:05+02:00KI2007WebMining dataset detection email spam Postfix now includes the sample greylisting policy-daemon in the main release (2.1+): www.postfix.org/SMTPD_POLICY_README.html#greylist.http://www.greylisting.org/implementations/postfix.shtmlhotho2007-03-27T09:20:53+02:00greylisting mail postfix spam Postfix now includes the sample greylisting policy-daemon in the main release (2.1+): www.postfix.org/SMTPD_POLICY_README.html#greylist.http://webspam.lip6.fr/wiki/pmwiki.phphotho2007-01-23T14:04:04+01:00web spam detection 2007 challenge workshop http://www.youbookmark.com/hotho2006-12-21T12:13:18+01:00folksonomy spam tools http://plg.uwaterloo.ca/~gvcormac/treccorpus/hotho2006-09-04T15:42:51+02:00trec spam set data dataset corpus http://trac.edgewall.org/wiki/SpamFilterhotho2006-07-19T14:12:08+02:00filter spam wiki http://blogoforum.com/tag/antispam+del.icio.us+news+spam/del-icio-us-spammed-with-automated-tool-2216.htmlhotho2006-07-10T19:45:27+02:00folksonomy spam tor del.icio.us http://plg.uwaterloo.ca/~gvcormac/ceas06.pdfhotho2006-06-24T12:28:56+02:00drift spam classification concept Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine’s results. While human experts can identify spam, it is too expensive to manually evaluate a large number of pages. Instead, we propose techniques to semi-automatically separate reputable, good pages from spam. We first select a small set of seed pages to be evaluated by an expert. Once we manually identify the reputable seed pages, we use the link structure of the web to discover other pages that are likely to be good. In this paper we discuss possible ways to implement the seed selection and the discovery of good pages. We present results of experiments run on the World Wide Web indexed by AltaVista and evaluate the performance of our techniques. Our results show that we can effectively filter out spam from a significant fraction of the web, based on a good seed set of less than 200 sites.http://www.vldb.org/conf/2004/RS15P3.PDFhotho2006-02-13T08:09:11+01:00web search social spam rank trust network Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine’s results. While human experts can identify spam, it i<span class="info">...<div>Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine’s results. While human experts can identify spam, it is too expensive to manually evaluate a large number of pages. Instead, we propose techniques to semi-automatically separate reputable, good pages from spam. We first select a small set of seed pages to be evaluated by an expert. Once we manually identify the reputable seed pages, we use the link structure of the web to discover other pages that are likely to be good. In this paper we discuss possible ways to implement the seed selection and the discovery of good pages. We present results of experiments run on the World Wide Web indexed by AltaVista and evaluate the performance of our techniques. Our results show that we can effectively filter out spam from a significant fraction of the web, based on a good seed set of less than 200 sites.</div></span>http://www.mailinator.com/mailinator/index.jsphotho2006-01-17T18:31:01+01:00spam temporary address email antispam