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Detection of Spammer by using Rating Behaviors
http://hdl.handle.net/20.500.12678/0000004511
http://hdl.handle.net/20.500.12678/0000004511550a4520-cc68-480c-af6c-88695ff6538e
ac3c76eb-3da9-44c2-80f6-295a061a6bf8
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10091.pdf (784 Kb)
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Detection of Spammer by using Rating Behaviors | |||||
Language | en_US | |||||
Publication date | 2012-02-28 | |||||
Authors | ||||||
Aye, Chan Myae | ||||||
Description | ||||||
Opinion reviews on products are used bypotential customers before deciding to purchasea product. Large volumes of reviews are postedto the Internet and detection of fake reviews isnow a challenging research problem. Opinionspam or trustworthiness of online opinions is animportant issue and this issue has beenneglected so far. To the best of our knowledge,there is not many published study on this topic,although Web spam and email spam have beeninvestigated extensively. This paper is presentedspammer detection techniques that define thespammer score on rating behaviors of thereviewer. The experiment showed that thepresented technique has comparatively effectivespammer detection than other techniques basedon rating behaviors. | ||||||
Keywords | ||||||
Spam detection, rating behaviors, scoring method | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/2437 | |||||
Journal articles | ||||||
Tenth International Conference On Computer Applications (ICCA 2012) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |