Conversation pivots and double pivots

Authors:
Daniel Xiaodan Zhou;Nathan Oostendorp;Michael Hess;Paul Resni k
Affiliations:
University of Michigan, Ann Arbor, MI, USA;University of Michigan, Ann Arbor, MI, USA;University of Michigan, Ann Arbor, MI, USA;University of Michigan, Ann Arbor, MI, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2008

Citing 3
Cited 2

PHOAKS: a system for sharing recommendations

Communications of the ACM
Amazon.com Recommendations: Item-to-Item Collaborative Filtering

IEEE Internet Computing
Insert movie reference here: a system to bridge conversation and item-oriented web sites

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Assessment of conversation co-mentions as a resource for software module recommendation

Proceedings of the third ACM conference on Recommender systems
Social overlays: augmenting existing UIs with social cues

Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion

Quantified Score

Hi-index	0.01

Visualization

Abstract

Many sites on the web offer collaborative databases that catalog items such as bands, events, products, or software modules. Conversation pivots allow readers to navigate from pages about these items to conversations about them on the same site or elsewhere on the Internet. Double pivots allow readers to navigate from item pages to pages about other items mentioned in the same conversations. Using text mining techniques specific to the collection it is possible to find references to collected items in online conversations. We implemented conversation pivots for the CPAN archive of Perl modules, and for Drupal.org, the reference site for the Drupal content management system.