2006 BeingAccurateisNotEnoughHowAccu

• (McNee et al., 2006) ⇒ Sean M. McNee, John Riedl, and Joseph A. Konstan. (2006). “Being Accurate is Not Enough: How Accuracy Metrics Have Hurt Recommender Systems.” In: CHI '06 Extended Abstracts on Human Factors in Computing Systems. ISBN:1-59593-298-4 doi:10.1145/1125451.1125659

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222006%22+Being+Accurate+is+Not+Enough%3A+How+Accuracy+Metrics+Have+Hurt+Recommender+Systems
• http://dl.acm.org/citation.cfm?id=1125451.1125659&preflayout=flat#citedby

Quotes

Author Keywords

• Recommender systems; personalization; collaborative filtering; metrics

Abstract

Recommender systems have shown great potential to help users find interesting and relevant items from within a large information space. Most research up to this point has focused on improving the accuracy of recommender systems. We believe that not only has this narrow focus been misguided, but has even been detrimental to the field. The recommendations that are most accurate according to the standard metrics are sometimes not the recommendations that are most useful to users. In this paper, we propose informal arguments that the recommender community should move beyond the conventional accuracy metrics and their associated experimental methodologies. We propose new user-centric directions for evaluating recommender systems.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2006 BeingAccurateisNotEnoughHowAccu	Joseph A. Konstan John Riedl Sean M. McNee			Being Accurate is Not Enough: How Accuracy Metrics Have Hurt Recommender Systems				10.1145/1125451.1125659		2006