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In this paper, we examine methods that can provide accurate results in a form of a recommender system within a social networking… Expand This paper describes how machine learning methods, along with a limited amount of manual classification, were used in a fairly… Expand The problem of malicious contents in blogs has reached epic proportions and various efforts are underway to fight it. Blog… Expand This paper proposes an approach using large-scale text features for fault-prone module detection inspired by spam filtering. The… Expand We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set… Expand For the TREC 2007 conference, the CRM114 team considered three nonBayesian methods of spam filtration in the CRM114 framework… Expand This paper discusses the design decisions underlying the CRM114 Discriminator software, how it can be configured as a spam filter… Expand Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of… Expand Abstract This paper explores the possibility of advanced techniques at the server level, and concludes that simple improvements… Expand