A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems.
Daniel Valcarce|Javier Parapar|Alvaro Barreiro
| Anthology ID: | DBLP:conf/ecir/ValcarcePB15 |
|---|---|
| Volume: | Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings |
| Year: | 2015 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Pages: | 346-351 |
| URL: | https://doi.org/10.1007/978-3-319-16354-3_38 |
| DOI: | https://doi.org/10.1007/978-3-319-16354-3_38 |
| DBLP: | conf/ecir/ValcarcePB15 |
| BibTeX: |
@inproceedings{valcarce-2015-study,
author = {Daniel Valcarce and
Javier Parapar and
Alvaro Barreiro},
editor = {Allan Hanbury and
Gabriella Kazai and
Andreas Rauber and
Norbert Fuhr},
title = {{A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems}},
booktitle = {{Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {9022},
pages = {346--351},
year = {2015},
url = {https://doi.org/10.1007/978-3-319-16354-3_38},
doi = {https://doi.org/10.1007/978-3-319-16354-3_38}
}