TopChurn: Maximum Entropy Churn Prediction Using Topic Models Over Heterogeneous Signals.

Manirupa Das|Micha Elsner|Arnab Nandi|Rajiv Ramnath


Anthology ID:DBLP:conf/www/DasENR15
Volume:Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume
Year:2015
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:291-297
URL:https://doi.org/10.1145/2740908.2743053
DOI:https://doi.org/10.1145/2740908.2743053
DBLP:conf/www/DasENR15
BibTeX:
@inproceedings{das-2015-topchurn, author = {Manirupa Das and Micha Elsner and Arnab Nandi and Rajiv Ramnath}, editor = {Aldo Gangemi and Stefano Leonardi and Alessandro Panconesi}, title = {{TopChurn: Maximum Entropy Churn Prediction Using Topic Models Over Heterogeneous Signals}}, booktitle = {{Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume}}, pages = {291--297}, publisher = {ACM}, year = {2015}, url = {https://doi.org/10.1145/2740908.2743053}, doi = {https://doi.org/10.1145/2740908.2743053} }