Putting recommendations on the map - Visualizing clusters and relations

Emden Gansner, Yifan Hu, Stephen Kobourov, Chris Volinsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationRecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems
Pages345-348
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event3rd ACM Conference on Recommender Systems, RecSys'09 - New York, NY, United States
Duration: Oct 23 2009Oct 25 2009

Publication series

NameRecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems

Other

Other3rd ACM Conference on Recommender Systems, RecSys'09
Country/TerritoryUnited States
CityNew York, NY
Period10/23/0910/25/09

Keywords

  • Clustering
  • Graph
  • Recommender system
  • Visualization

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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