IPM-G: Enabling Collaborative Filtering Using Multi-Application Interest Models Conference Paper uri icon


  • 2014 IEEE. The Interest Profile Manager (IPM) plays the central role in inferring user interest during document triage. The IPM collects information about interest-related activity from the potentially many triage applications. In this paper, we extend the IPM framework to enable community-based navigation using inferred user interests from information gathering tasks involving the use of multiple applications. We call IPM running on server, Global IPM (IPM-G), and IPM-G can generate similarity assessments, and thus recommendations, based on three different levels: tasks, documents, and annotations. As a result, CF methods can be applied to each level to get results at these three levels of granularity. By representing inferred interests based on the features of their tasks, documents, and annotations, we make possible six potential collaborative filtering (CF) modes in the IPM-G. This paper describes why collaborative filtering based on multi-application interest models is important, abstractly describes the representation of the interest models, and presents details of one of these filtering modes.

name of conference

  • 2014 10th International Conference on Semantics, Knowledge and Grids

published proceedings

  • 2014 10th International Conference on Semantics, Knowledge and Grids

author list (cited authors)

  • ZhOU, Z., Jayarathna, S., Patra, A., & Shipman, F.

citation count

  • 0

complete list of authors

  • ZhOU, Zhurong||Jayarathna, Sampath||Patra, Atish||Shipman, Frank

publication date

  • January 2014