Name
Abstract | ||
|---|---|---|
An expert recommendation system using concept-based relevance discernment is proposed. This system processes the description of a technical topic as input and then finds engineers who have a high level of expertise in that area. The technique employed is an extended vector space model that locates both technical topics and engineers in the same multi-dimensional space, and then calculates their relevance. This system can also retrieve engineers or documents that are related to a field matching a given engineer's technical interests. Such a system can be expected to play the role of a person's professional network, and be a valuable tool for knowledge management among several organizations. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICTAI.2001.974472 | Dallas, TX |
Keywords | Field | DocType |
concept-based relevance discernment,expert recommendation system,extended vector space model,professional network,knowledge management,technical interest,high level,valuable tool,multi-dimensional space,technical topic,art,indexing,recommender system,expert systems,information science,matrix decomposition,business communication,vector space model,frequency,information retrieval | Data science,Computer science,Knowledge management,Search engine indexing,Artificial intelligence,Business communication,Vector space model,Engineering information systems,Discernment,Recommender system,Information science,Expert system,Machine learning | Conference |
ISSN | ISBN | Citations |
1082-3409 | 0-7695-1417-0 | 14 |
PageRank | References | Authors |
0.86 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takashi Yukawa | 1 | 57 | 15.53 |
| Kaname Kasahara | 2 | 39 | 3.16 |
| Toshiro Kita | 3 | 14 | 0.86 |
| Tsuneaki Kato | 4 | 271 | 38.70 |