Abstract
In this paper, we propose a new approach to measure similarities among academic papers based on their references. Our similarity measure uses both in-link and out-link by transforming in-link and out-link into undirected links.
| Original language | English |
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| Title of host publication | Proceedings of the 19th International Conference on World Wide Web, WWW '10 |
| Pages | 1213-1214 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States Duration: 2010 Apr 26 → 2010 Apr 30 |
Publication series
| Name | Proceedings of the 19th International Conference on World Wide Web, WWW '10 |
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Other
| Other | 19th International World Wide Web Conference, WWW2010 |
|---|---|
| Country | United States |
| City | Raleigh, NC |
| Period | 10/4/26 → 10/4/30 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
Cite this
Yoon, S. H., Kim, S. W., & Park, S. (2010). A link-based similarity measure for scientific literature. In Proceedings of the 19th International Conference on World Wide Web, WWW '10 (pp. 1213-1214). (Proceedings of the 19th International Conference on World Wide Web, WWW '10). https://doi.org/10.1145/1772690.1772880