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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Petkova, D. Croft, W.B. |
| Copyright Year | 2006 |
| Description | Author affiliation: Center for Intelligent Inf. Retrieval, Massachusetts Univ., Amherst, MA (Petkova, D.; Croft, W.B.) |
| Abstract | Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for representing the knowledge of a potential expert as a mixture of language models from associated documents. First we retrieve documents given the expert's name using a generative probabilistic technique and weight the retrieved documents according to expert-specific posterior distribution. Then we model the expert indirectly through the set of associated documents, which allows us to exploit their underlying structure and complex language features. Experiments show that our method has excellent performance on TREC 2005 expert search task and that it effectively collects and combines evidence for expertise in a heterogeneous collection |
| Starting Page | 599 |
| Ending Page | 608 |
| File Size | 170651 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769527280 |
| ISSN | 10823409 |
| DOI | 10.1109/ICTAI.2006.63 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information retrieval Data mining Databases Computer science Knowledge management Collaborative tools Productivity Character generation Data security Information security |
| Content Type | Text |
| Resource Type | Article |
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