Abstract
Ranking is an important way of retrieving authoritative papers from a large scientific literature database. Current state-of-the-art exploits the flat structure of the heterogeneous academic network to achieve a better ranking of scientific articles, however, ignores the multinomial nature of the multidimensional relationships between different types of academic entities. This paper proposes a novel mutual ranking algorithm based on the multinomial heterogeneous academic hypernetwork, which serves as a generalized model of a scientific literature database. The proposed algorithm is demonstrated effective through extensive evaluation against well-known IR metrics on a well-established benchmarking environment based on the ACL Anthology Network.
Original language | English |
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Title of host publication | Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) |
Publisher | AAAI |
Pages | 20-27 |
Number of pages | 7 |
Publication status | Published - 12 Feb 2016 |
Externally published | Yes |
Event | 30th AAAI Conference on Artificial Intelligence - Phoenix, United States Duration: 12 Feb 2016 → 17 Feb 2016 Conference number: 30 https://aaai.org/Library/AAAI/aaai16contents.php |
Conference
Conference | 30th AAAI Conference on Artificial Intelligence |
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Country/Territory | United States |
City | Phoenix |
Period | 12/02/16 → 17/02/16 |
Internet address |