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A Study of Recommender System Techniques

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 47 - Number 16
Year of Publication: 2012
Authors:
Reena Pagare
Anita Shinde
10.5120/7269-0078

Reena Pagare and Anita Shinde. Article: A Study of Recommender System Techniques. International Journal of Computer Applications 47(16):1-4, June 2012. Full text available. BibTeX

@article{key:article,
	author = {Reena Pagare and Anita Shinde},
	title = {Article: A Study of Recommender System Techniques},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {47},
	number = {16},
	pages = {1-4},
	month = {June},
	note = {Full text available}
}

Abstract

Many clients like to use the Web to discover product details in the form of online reviews. These reviews are given by other clients and specialists. User-given reviews are becoming more prevalent. Recommender systems provide an important response to the information overload problem as it presents users more practical and personalized information services. Collaborative filtering techniques play vital component in recommender systems as they generate high-quality recommendations by influencing the likings of society of similar users.

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