[PDF][PDF] Using semantic features to detect spamming in social bookmarking systems
Proc. of ECML PKDD Discovery Challenge Workshop, 2008•ahmedhefny.com
Collaborative software is gaining pace as a vital means of information sharing between
users. This paper discusses one of the key challenges that affect such systems which is
identifying spammers. We discuss potential features that describe the system's users and
illustrate how we can use those features in order to determine potential spamming users
through various machine learning models.
users. This paper discusses one of the key challenges that affect such systems which is
identifying spammers. We discuss potential features that describe the system's users and
illustrate how we can use those features in order to determine potential spamming users
through various machine learning models.
Abstract
Collaborative software is gaining pace as a vital means of information sharing between users. This paper discusses one of the key challenges that affect such systems which is identifying spammers. We discuss potential features that describe the system’s users and illustrate how we can use those features in order to determine potential spamming users through various machine learning models.
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