Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

Traditional fact checking by expert journalists cannot keep up with the enormous volume of
information that is now generated online. Computational fact checking may significantly …

Scoring systems are linear classification models that only require users to add, subtract and
multiply a few small numbers in order to make a prediction. These models are in widespread …

From the Publisher: Learn the enabling technologies behind some of the most successful
online communities Although the Internet has grown considerably, people are still looking …

We study the use of support vector machines (SVM) in classifying e-mail as spam or
nonspam by comparing it to three other classification algorithms: Ripper, Rocchio, and …

5,950, 193 A 9, 1999 Kulkarni 5.996, 006 A 1 1/1999 Speicher 6,029,141 A 2/2000 Bezos et
al. 6,129,141 A 10/2000 Yang et al. 6,175,831 B1 1/2001 Weinreich et al. 6,269,369 B1 …

It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited
bulk e-mail (" spam"). We conduct a thorough evaluation of this proposal on a corpus that we …

In this paper we review studies of the growth of the Internet and technologies that are useful
for information search and retrieval on the Web. We present data on the Internet from several …

(57) ABSTRACT A system, apparatus, and method are directed towards enabling
information filtering using measures of an affinity of a relationship between Subscribers of an …