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.
Younus, A., Qureshi, M., Manchanda, P., O’Riordan, C., Pasi, G. (2014). Utilizing Microblog Data in a Topic Modelling Framework for Scientific Articles’ Recommendation. In 6th International Conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014, Proceedings (pp.384-395) [10.1007/978-3-319-13734-6_28].
Utilizing Microblog Data in a Topic Modelling Framework for Scientific Articles’ Recommendation
Younus, A;Qureshi, MA;Manchanda, P;Pasi, G
2014
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.
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