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FLY: Venue Recommendation using Limited Context
S. Rajanala,
Published in IEEE Computer Society
2020
Volume: 2020-November
   
Pages: 200 - 204
Abstract
Recommendation of publication venues is very much the need of the hour. There is a sea of options for research conferences and journals. As a result, it is often found that researchers are not even aware of many publication venues in their research area. Existing work uses information, such as all the references in a given paper, past publication venues of the author(s), co-Author relationships, and the paper content to do venue recommendation. However, in this paper, we propose a system that uses very limited context, namely the paper title, abstract, and a venue network, which is constructed using only a small subset of authors' publication history, to do venue recommendation. Our venue recommendation system, FLY, gives 30% higher accuracy compared to the current state-of-The-Art limited context venue recommendation system. © 2020 IEEE.
About the journal
JournalData powered by TypesetProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
PublisherData powered by TypesetIEEE Computer Society
ISSN10823409