How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model.

Noor Ifada|Richi Nayak


Anthology ID:DBLP:conf/wsdm/IfadaN16
Volume:Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016
Year:2016
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:23-32
URL:https://doi.org/10.1145/2835776.2835790
DOI:https://doi.org/10.1145/2835776.2835790
DBLP:conf/wsdm/IfadaN16
BibTeX:
@inproceedings{ifada-2016-relevant, author = {Noor Ifada and Richi Nayak}, editor = {Paul N. Bennett and Vanja Josifovski and Jennifer Neville and Filip Radlinski}, title = {{How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model}}, booktitle = {{Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016}}, pages = {23--32}, publisher = {ACM}, year = {2016}, url = {https://doi.org/10.1145/2835776.2835790}, doi = {https://doi.org/10.1145/2835776.2835790} }