A Bayesian Approach for Learning Document Type Relevance.
Peter C. K. Yeung|Stefan Büttcher|Charles L. A. Clarke|Maheedhar Kolla
| Anthology ID: | DBLP:conf/ecir/YeungBCK07 |
|---|---|
| Volume: | Advances in Information Retrieval, 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007, Proceedings |
| Year: | 2007 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 753-756 |
| URL: | https://doi.org/10.1007/978-3-540-71496-5_85 |
| DOI: | https://doi.org/10.1007/978-3-540-71496-5_85 |
| DBLP: | conf/ecir/YeungBCK07 |
| BibTeX: |
@inproceedings{yeung-2007-bayesian,
author = {Peter C. K. Yeung and
Stefan B\"{u}ttcher and
Charles L. A. Clarke and
Maheedhar Kolla},
editor = {Gianni Amati and
Claudio Carpineto and
Giovanni Romano},
title = {{A Bayesian Approach for Learning Document Type Relevance}},
booktitle = {{Advances in Information Retrieval, 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {4425},
pages = {753--756},
publisher = {Springer},
year = {2007},
url = {https://doi.org/10.1007/978-3-540-71496-5_85},
doi = {https://doi.org/10.1007/978-3-540-71496-5_85}
}