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Application of Trust and Distrust in Recommender System: A Study

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Parthasarathi Chakraborty, Sunil Karforma
10.5120/ijca2016909153

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

@article{key:article,
	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}
}

Abstract

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.

References

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Keywords

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