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Using Semantic Features to Detect Spamming in Social Bookmarking Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Madkour, Amgad Hefni, Tarek Hefny, Ahmed Refaat, Khaled S. |
| Copyright Year | 2008 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://khaledrefaat.com/IBM08.pdf |
| Alternate Webpage(s) | http://www.cs.cmu.edu/~ahefny/pubs/ecml_pkdd_dc08.pdf |
| Alternate Webpage(s) | http://web.cs.ucla.edu/~krefaat/IBM08.pdf |
| Alternate Webpage(s) | http://www.kde.cs.uni-kassel.de/ws/rsdc08/pdf/7.pdf |
| Alternate Webpage(s) | https://www.kde.cs.uni-kassel.de/ws/rsdc08/pdf/7.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |