Abstract
Researchers are actively turning to Twitter in an attempt to network with other researchers, and stay updated with respect to various scientific breakthroughs. Young and novice researchers have also found Twitter as a valuable source of information in terms of staying up-to-date with various developments in their field of research. In this paper, we present an approach to utilize this valuable information source within a topic modeling framework to suggest scientific articles of interest to novice researchers. The approach in addition to producing effective recommendations for scientific articles alleviates the cold-start problem and is a step towards elimination of the gap between Twitter and science.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | International Conference on Social Informatics |
| Publication status | Published - 1 Jan 2014 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Younus, A; Qureshi, MA; Manchanda, P; O'Riordan, C; Pasi