Axiomatic Analysis of Smoothing Methods in Language Models for Pseudo-Relevance Feedback.

Hussein Hazimeh|ChengXiang Zhai


Anthology ID:DBLP:conf/ictir/HazimehZ15
Volume:Proceedings of the 2015 International Conference on The Theory of Information Retrieval, ICTIR 2015, Northampton, Massachusetts, USA, September 27-30, 2015
Year:2015
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:141-150
URL:https://doi.org/10.1145/2808194.2809471
DOI:https://doi.org/10.1145/2808194.2809471
DBLP:conf/ictir/HazimehZ15
BibTeX:
@inproceedings{hazimeh-2015-axiomatic, author = {Hussein Hazimeh and ChengXiang Zhai}, editor = {James Allan and W. Bruce Croft and Arjen P. de Vries and ChengXiang Zhai}, title = {{Axiomatic Analysis of Smoothing Methods in Language Models for Pseudo-Relevance Feedback}}, booktitle = {{Proceedings of the 2015 International Conference on The Theory of Information Retrieval, ICTIR 2015, Northampton, Massachusetts, USA, September 27-30, 2015}}, pages = {141--150}, publisher = {ACM}, year = {2015}, url = {https://doi.org/10.1145/2808194.2809471}, doi = {https://doi.org/10.1145/2808194.2809471} }