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Content filtering
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#	Item
11	An analysis of Social News Websites Diego M. Virasoro Pauline Leonard Mark Weal Add to Reading List Source URL: www.websci11.org Language: English - Date: 2016-03-15 09:54:51 Social bookmarking Virtual communities Community websites Social information processing News websites Social news Reddit Digg Collaborative filtering User-generated content News aggregator Recommender system
12	The Lancaster School E - SAFETY POLICY February 2014 Introduction Safeguarding is a serious matter; at The Lancaster School we use technology and the Add to Reading List Source URL: www.lancaster.lincs.sch.uk Language: English - Date: 2015-05-09 05:47:03 Email Spam filtering Spamming Education in the United Kingdom School governor Email filtering Acceptable use policy Content-control software Email spam
13	If your pages contain a lot of data, there are tree techniques that you can use to help your users to find the content they are looking for. FILTERING SEARCH Add to Reading List Source URL: www.javascriptbook.com - Date: 2014-06-25 14:14:54
14	Keeping Your Online Community Safe The Nuts and Bolts of Filtering User Generated Content Overview Branded online communities have become an integral tool for connecting companies Add to Reading List Source URL: www.inversoft.com Language: English - Date: 2015-11-29 13:00:33
15	Automatic Web Rating: Filtering Obscene Content on the Web K. V. Chandrinos, Ion Androutsopoulos, G.Paliouras, and C. D. Spyropoulos Institute of Informatics and Telecommunications National Centre for Scientific Research Add to Reading List Source URL: www.aueb.gr Language: English - Date: 2008-05-19 05:39:55
16	Microsoft Word - Filtering.briefing.doc Add to Reading List Source URL: www.iptegrity.com Language: English - Date: 2011-08-21 08:05:13 Computer network security Deep packet inspection Internet censorship Net neutrality File sharing Firewall Internet Content-control software Sandvine Telecoms Package Copyright infringement Peer-to-peer
17	Content-based Web Spam Detection Gordon V. Cormack Cormack, Content-based web spam detection, AIRWeb, May 8, 2007 Add to Reading List Source URL: airweb.cse.lehigh.edu Language: English - Date: 2007-06-04 07:47:36 Spamming Spam filtering Email Email spam Cormack Spamdexing Spam Bayesian poisoning Anti-spam techniques
18	Appears in Proceedings of the SIGIR-2001 Workshop on Recommender Systems, New Orleans, LA, September 2001 Content-Boosted Collaborative Filtering Prem Melville, Raymond J. Mooney and Ramadass Nagarajan Department of Comp Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2002-02-06 19:35:03
19	Topical Organization of User Comments and Application to Content Recommendation Vidit Jain Esther Galbrun Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:47:00 Information science Computing Information retrieval Data mining Recommender system Relevance K-means clustering Comment Collaborative filtering Tone cluster Cluster analysis Computer cluster
20	Content-based Web Spam Detection Gordon V. Cormack University of Waterloo Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2007-05-13 22:53:01 Computing Software Spamming World Wide Web Spam filtering Portable software Text mode Wget Lua Anti-spam techniques Email spam Email

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