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On one hand, the abundant information is freely accessible to all web denizens; on the other hand, much of such information may be irrelevant or even deleterious to some users. For example, some control and filtering mechanisms are desired to prevent inappropriate or offensive materials such as pornographic websites from reaching children. Ways of accessing websites are termed as\n            <jats:italic>Access Scenarios<\/jats:italic>\n            . An Access Scenario can include using search engines (e.g., image search that has very little textual content), URL redirection to some websites, or directly typing (porn) website URLs. In this paper we propose a framework to analyze a website from several different aspects or information sources, and generate a classification model aiming to accurately classify such content irrespective of access scenarios. Extensive experiments are performed to evaluate the resulting system, which illustrates the promise of the proposed approach.\n          <\/jats:p>","DOI":"10.1145\/1147234.1147238","type":"journal-article","created":{"date-parts":[[2007,1,17]],"date-time":"2007-01-17T18:32:02Z","timestamp":1169058722000},"page":"17-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Blocking objectionable web content by leveraging multiple information sources"],"prefix":"10.1145","volume":"8","author":[{"given":"Nitin","family":"Agarwal","sequence":"first","affiliation":[{"name":"Arizona State University, Tempe, AZ"}]},{"given":"Huan","family":"Liu","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, AZ"}]},{"given":"Jianping","family":"Zhang","sequence":"additional","affiliation":[{"name":"AOL, Inc., Dulles, VA"}]}],"member":"320","published-online":{"date-parts":[[2006,6]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.4018\/jitwe.2006010102"},{"key":"e_1_2_1_2_1","volume-title":"In Proceedings of Conference on Email and Anti-Spam (CEAS 2004)","author":"Ahmed S.","year":"2004","unstructured":"S. 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Liu and H. Motoda . Feature Extraction, Construction and Selection: A Data Mining Perspective . Boston : Kluwer Academic Publishers , 1998 . 2nd Printing, 2001. H. Liu and H. Motoda. Feature Extraction, Construction and Selection: A Data Mining Perspective. Boston: Kluwer Academic Publishers, 1998. 2nd Printing, 2001."},{"key":"e_1_2_1_17_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-5689-3","volume-title":"Feature Selection for Knowledge Discovery & Data Mining","author":"Liu H.","year":"1998","unstructured":"H. Liu and H. Motoda . Feature Selection for Knowledge Discovery & Data Mining . Boston : Kluwer Academic Publishers , 1998 . H. Liu and H. Motoda. Feature Selection for Knowledge Discovery & Data Mining. 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