2013 RecommenderSystemsSurvey

• (Bobadilla et al., 2013) ⇒ Jesús Bobadilla, Fernando Ortega, Antonio Hernando, and Abraham Gutiérrez. (2013). “Recommender Systems Survey.” In: Knowledge-Based Systems Journal, 46. doi:10.1016/j.knosys.2013.03.012

Subject Headings: Recommendation System Algorithm.

Cited By

• http://scholar.google.com/scholar?q=%222013%22+Recommender+Systems+Survey
• http://dl.acm.org/citation.cfm?id=2483330.2483573&preflayout=flat#citedby

Quotes

Author Keywords

Recommender systems; Collaborative filtering; Similarity measures; Evaluation metrics; Prediction; Recommendation; Hybrid; Social; Internet of things; Cold-start

Abstract

Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things. This article provides an overview of recommender systems as well as collaborative filtering methods and algorithms; it also explains their evolution, provides an original classification for these systems, identifies areas of future implementation and develops certain [[areas selected for past, present or future importance.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 RecommenderSystemsSurvey	Jesús Bobadilla Fernando Ortega Antonio Hernando Abraham Gutiérrez			Recommender Systems Survey				10.1016/j.knosys.2013.03.012		2013