Journal article
Discovering patterns of collaboration for recommendation
13 Jun 2013
Abstract
Collaboration between research scientists, particularly those with diverse backgrounds, is a driver of scientific innovation. However, finding the right collaborator is often an unscientific process that is subject to chance. This paper explores recommending collaborators based on repeating patterns of previous successful collaboration experiences, what we term prototypical collaborations. We investigate a method for discovering such prototypes to use them as a basis to guide the recommendation of new collaborations. To this end, we also examine two methods for matching collaboration seekers to these prototypical collaborations. Our initial studies reveal that though promising, improving collaborations through recommendation is a complex goal.
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Details
- Title
- Discovering patterns of collaboration for recommendation
- Creators
- Sidath Deepal Gunawardena (Author) - Drexel UniversityRosina O. Weber (Author) - Drexel University
- Number of pages
- 6 pages
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Information Science and Technology (1995-2013); Information Science (Informatics)
- Identifiers
- 991014632533204721