Putting recommendations on the map: visualizing clusters and relations

Authors:
Emden Gansner;Yifan Hu;Stephen Kobourov;Chris Volinsky
Affiliations:
AT&T Labs -- Research, Florham Park, USA;AT&T Labs -- Research, Florham Park, USA;AT&T Labs -- Research, Florham Park, USA;AT&T Labs -- Research, Florham Park, USA
Venue:
Proceedings of the third ACM conference on Recommender systems
Year:
2009

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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.