2013 ResearchPaperRecommenderSystemE

• (Beel et al., 2013) ⇒ Joeran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp, Corinna Breitinger, and Andreas Nürnberger. (2013). “Research Paper Recommender System Evaluation: A Quantitative Literature Survey.” In: Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. ISBN:978-1-4503-2465-6 doi:10.1145/2532508.2532512

Subject Headings: Research Document Retrieval, Document Recommendation.

Cited By

• http://scholar.google.com/scholar?q=%222013%22+Research+Paper+Recommender+System+Evaluation%3A+A+Quantitative+Literature+Survey
• http://dl.acm.org/citation.cfm?id=2532508.2532512&preflayout=flat#citedby

Quotes

Abstract

Over 80 approaches for academic literature recommendation exist today. The approaches were introduced and evaluated in more than 170 research articles, as well as patents, presentations and blogs. We reviewed these approaches and found most evaluations to contain major shortcomings. Of the approaches proposed, 21% were not evaluated. Among the evaluated approaches, 19% were not evaluated against a baseline. Of the user studies performed, 60% had 15 or fewer participants or did not report on the number of participants. Information on runtime and coverage was rarely provided. Due to these and several other shortcomings described in this paper, we conclude that it is currently not possible to determine which recommendation approaches for academic literature are the most promising. However, there is little value in the existence of more than 80 approaches if the best performing approaches are unknown.

References

;

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 ResearchPaperRecommenderSystemE	Joeran Beel Stefan Langer Marcel Genzmehr Bela Gipp Corinna Breitinger Andreas Nürnberger			Research Paper Recommender System Evaluation: A Quantitative Literature Survey				10.1145/2532508.2532512		2013