Putting recommendations on the map

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Putting recommendations on the map: visualizing clusters and relations

Full text

Pdf (1.93 MB)

Source

ACM Conference On Recommender Systems archive
Proceedings of the third ACM conference on Recommender systems table of contents

New York, New York, USA

SESSION: Short papers table of contents

Pages 345-348

Year of Publication: 2009

ISBN:978-1-60558-435-5

Authors

Emden Gansner	AT&T Labs -- Research, Florham Park, USA
Yifan Hu	AT&T Labs -- Research, Florham Park, USA
Stephen Kobourov	AT&T Labs -- Research, Florham Park, USA
Chris Volinsky	AT&T Labs -- Research, Florham Park, USA

Sponsor

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 12, Downloads (12 Months): 12, Citation Count: 0

Additional Information:

abstract references index terms

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1639714.1639784 What is a DOI?

ABSTRACT

For users, recommendations can sometimes seem odd or counterintuitive. Visualizing recommendations can remove some of this mystery, showing how a recommendation is grouped with other choices. A drawing can also lead a user's eye to other options. Traditional 2D-embeddings of points can be used to create a basic layout, but these methods, by themselves, do not illustrate clusters and neighborhoods very well. In this paper, we propose the use of geographic maps to enhance the definition of clusters and neighborhoods, and consider the effectiveness of this approach in visualizing similarities and recommendations arising from TV shows.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	C. A. Brewer. Colorbrewer -- selecting good color schemes for maps. http://www.colorbrewer.org.
	2	T. M. J. Fruchterman and E. M. Reingold. Graph drawing by force directed placement. Software -- Practice and Experience, 21:1129--1164, 1991.
	3	E. R. Gansner and Y. F. Hu. Efficient node overlap removal using a proximity stress model. In 16th Symposium on Graph Drawing, pages 206--217, 2008.
	4	Y. F. Hu. Efficient and high quality force-directed graph drawing. Mathematica Journal, 10:37--71, 2005.
	5	Y. F. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In 8th IEEE International Conference on Data Mining (ICDM), pages 263--272, 2008.
	6	J. B. Kruskal and M. Wish. Multidimensional Scaling. Sage Press, 1978.
	7	M. E. J. Newman. Modularity and community structure in networks. Proc. Natl. Acad. Sci. USA, 103:8577--8582, 2006.
	8	A. Noack. Modularity clustering is force-directed layout. Physical Review E, 79, 2009.