1999 AnAlgorithmicFrameworkforPerfor

• (Herlocker et al., 1999) ⇒ Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl. (1999). “An Algorithmic Framework for Performing Collaborative Filtering.” In: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval. doi:10.1145/312624.312682

Subject Headings: Collaborative Filtering Algorithm

Cited By

• http://scholar.google.com/scholar?q=%22An+algorithmic+framework+for+performing+collaborative+filtering%22+1999
• http://dl.acm.org/citation.cfm?id=312624.312682&preflayout=flat#citedby

Quotes

Abstract

Automated collaborative filtering is quickly becoming a popular technique for reducing information overload, often as a technique to complement content-based information filtering systems. In this paper we present an algorithmic framework for performing collaborative filtering and new algorithmic elements that increase the accuracy of collaborative prediction algorithms. We then present a set of recommendations on selection of the right collaborative filtering algorithmic components.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1999 AnAlgorithmicFrameworkforPerfor	Joseph A. Konstan John Riedl Jonathan L. Herlocker Al Borchers			An Algorithmic Framework for Performing Collaborative Filtering				10.1145/312624.312682