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.
Original language | English |
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Title of host publication | Proceedings - IEEE 32nd International Conference on Tools with Artificial Intelligence, ICTAI 2020 |
Editors | Miltos Alamaniotis, Shimei Pan |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 200-204 |
Number of pages | 5 |
ISBN (Electronic) | 9781728192284 |
ISBN (Print) | 9781728185361 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | International Conference on Tools with Artificial Intelligence 2020 - Online, Baltimore, United States of America Duration: 9 Nov 2020 → 11 Nov 2020 Conference number: 32nd https://ieeexplore.ieee.org/xpl/conhome/9288160/proceeding (Proceedings) |
Conference
Conference | International Conference on Tools with Artificial Intelligence 2020 |
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Abbreviated title | ICTAI 2020 |
Country/Territory | United States of America |
City | Baltimore |
Period | 9/11/20 → 11/11/20 |
Internet address |
Keywords
- Citation Network
- Topic Modeling
- Venue Recommendation