FLY: Venue Recommendation using Limited Context

Rajanala, Sailaja and Singh, Manish (2020) FLY: Venue Recommendation using Limited Context. In: Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 9 November 2020 - 11 November 2020.

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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.

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IITH Creators:
IITH CreatorsORCiD
Rajanala, SailajaUNSPECIFIED
Singh, ManishUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Author relationships; Publication history; State of the art;Artificial intelligence; Publishing
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 09 Jul 2021 10:16
Last Modified: 09 Jul 2021 10:16
URI: http://raiithold.iith.ac.in/id/eprint/8198
Publisher URL: http://doi.org/10.1109/ICTAI50040.2020.00040
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