Churn prediction in new users of Yahoo! Answers

WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Volumn , Issue , 2012, Pages 829-834

  Dror, Gideon ^a   Pelleg, Dan ^a   Rokhlenko, Oleg ^a   Szpektor, Idan ^a  

^a YAHOO RESEARCH   (United States)

Author keywords

Churn prediction; Community question answering; Online user behavior

Indexed keywords

FEATURE ANALYSIS; ONLINE USERS; PERSONAL INFORMATION; QUESTION ANSWERING; SOCIAL INTERACTIONS;

FORECASTING; WORLD WIDE WEB;

BEHAVIORAL RESEARCH;

EID: 84861040638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187980.2188207     Document Type: Conference Paper

References (18)

1. Z. Birnbaum and O. M. Klose. Bounds for the variance of the mann-whitney statistic. Annals of Mathematical Statistics, 28(4):933-945, 1957.
2. W. Buckinx and D. Van Den Poel. Customer base analysis: Partial defection of behaviorally-loyal clients in a non-contractual fmcg retail setting. European Journal Of Operational Research, 164:252-268, 2003.
3. J. Burez and D. Vandenpoel. Crm at a pay-tv company: Using analytical models to reduce customer attrition by targeted marketing for subscription services. Expert Systems with Applications, 32:277-288, 2007.
4. K. Coussement and D. Van Den Poel. Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. Expert Systems with Applications, 34(1):313-327, 2008.
5. K. Dasgupta, R. Singh, B. Viswanathan, D. Chakraborty, S. Mukherjea, A. A. Nanavati, and A. Joshi. Social ties and their relevance to churn in mobile telecom networks. In EDBT'08, pages 668-677, 2008.
6. P. Datta, B. Masand, D. R. Mani, and B. Li. Automated cellular modeling and prediction on a large scale. Artif. Intell. Rev., 14:485-502, 2000.
7. J. Hadden, A. Tiwari, R. Roy, and D. Ruta. Churn prediction using complaints data. In Proceedings of world academy of science, engineering, and technology, volume 13, pages 158-163, 2006.
8. M. Karnstedt, T. Hennessy, J. Chan, P. Basuchowdhuri, C. Hayes, and T. Strufe. Churn in social networks. Handbook of Social Network Technologies and Applications (Springer), 2010.
9. M. Karnstedt, M. Rowe, J. Chan, H. Alani, and C. Hayes. The effect of user features on churn in social networks. In Proceedings of the third ACM/ICA Web Science Conference, 2011.
10. J. Kawale, A. Pal, and J. Srivastava. Churn prediction in mmorpgs: A social influence based approach. In IEEE International Conference on Computational Science and Engineering, pages 423-428, 2009.
11. D. A. Kumar and V. Ravi. Predicting credit card customer churn in banks using data mining. International Journal of Data Analysis Techniques and Strategies, 1, 2008.
12. M. Mozer, R. Wolniewicz, D. Grimes, E. Johnson, and H. Kaushansky. Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry. IEEE Trans Neural Netw, 11(3):690-696, 2000.
13. T. Mutanen, S. Nousiainen, and J. Ahola. Customer churn prediction -a case study in retail banking. In Proceedings of the 2010 conference on Data Mining for Business Applications, pages 77-83, 2010.
14. P. C. Pendharkar. Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services. Expert Syst. Appl., 36, 2009.
15. C. ping Wei and I. tang Chiu. Turning telecommunications call details to churn prediction: a data mining approach. Expert Systems With Applications, 23:103-112, 2002.
16. Y. Richter, E. Yom-Tov, and N. Slonim. Predicting customer churn in mobile networks through analysis of social groups. In SIAM International Conference on Data Mining, pages 732-741, 2010.
17. D. Stutzbach and R. Rejaie. Understanding churn in peer-to-peer networks. In Proceedings of the 6th ACM SIGCOMM conference on Internet measurement, IMC '06, pages 189-202, 2006.
18. W. Verbeke, D. Martens, C. Mues, and B. Baesens. Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Systems With Applications, 38:2354-2364, 2011.