DETECTION OF OPINION FRAUD USING TEMPORAL APPROACH

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DC Field	Value	Language
dc.contributor.author	Rani, Rachna	-
dc.date.accessioned	2021-12-07T06:19:03Z	-
dc.date.available	2021-12-07T06:19:03Z	-
dc.date.issued	2018-05	-
dc.identifier.uri	http://localhost:8081/xmlui/handle/123456789/15209	-
dc.description.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	en_US
dc.description.sponsorship	INDAIN INSTITUTE OF TECHNOLOGY, ROORKEE	en_US
dc.language.iso	en	en_US
dc.publisher	I I T ROORKEE	en_US
dc.subject	Social Opinion	en_US
dc.subject	TripAdvisor	en_US
dc.subject	YouTube Plays	en_US
dc.subject	Fraudsters Manipulate	en_US
dc.title	DETECTION OF OPINION FRAUD USING TEMPORAL APPROACH	en_US
dc.type	Other	en_US
Appears in Collections:	MASTERS' THESES (CSE)

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