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Application of Trust and Distrust in Recommender System: A Study

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Parthasarathi Chakraborty, Sunil Karforma

Parthasarathi Chakraborty and Sunil Karforma. Article: Application of Trust and Distrust in Recommender System: A Study. International Journal of Computer Applications 139(6):34-38, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Parthasarathi Chakraborty and Sunil Karforma},
	title = {Article: Application of Trust and Distrust in Recommender System: A Study},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {6},
	pages = {34-38},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


Recommender systems help customers to choose right product or service from large number of alternatives available on Internet. In recent time, trust becomes an important issue in designing effective recommender systems. In this paper we have studied the role of trust and distrust in designing recommender systems.


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Social Trust, Distrust, Trust Inference Algorithms, Web of Trust, Recommender System.