Please use this identifier to cite or link to this item:
http://localhost:8081/xmlui/handle/123456789/15209| Title: | DETECTION OF OPINION FRAUD USING TEMPORAL APPROACH |
| Authors: | Rani, Rachna |
| Keywords: | Social Opinion;TripAdvisor;YouTube Plays;Fraudsters Manipulate |
| Issue Date: | May-2018 |
| Publisher: | I I T ROORKEE |
| Abstract: | The social opinion for products and services advertised on online platforms such as Amazon, TripAdvisor or YouTube plays a vital role in shaping the decision of users. The products and services most liked by the users appear on top of the recommendation list of e-commerce site and garner maximum attention. Fraudsters manipulate the ratings, reviews or followers count to give undue promotion to some products and dishonest negative feedback to the others. Fraudsters adopt camouflaging and deceptive style of writing to evade Fraud Detection Systems |
| URI: | http://localhost:8081/xmlui/handle/123456789/15209 |
| metadata.dc.type: | Other |
| Appears in Collections: | MASTERS' THESES (CSE) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| G27900.pdf | 963.19 kB | Adobe PDF | View/Open |
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