Predicting spending behavior using socio-mobile features

Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

Volumn , Issue , 2013, Pages 174-179

  Singh, Vivek K ^a   Freeman, Laura ^a   Lepri, Bruno ^a   Pentland, Alex ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Behavioral marketing; Customer Behavior; Reality Mining; Social behavior; Social Computing; Social spending; Spending behavior

Indexed keywords

CUSTOMER BEHAVIOR; REALITY MININGS; SOCIAL BEHAVIOR; SOCIAL COMPUTING; SOCIAL SPENDING; SPENDING BEHAVIOR;

CELLULAR TELEPHONES; COMMERCE; ECONOMICS; MARKETING; MOBILE PHONES;

BEHAVIORAL RESEARCH;

EID: 84893577297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SocialCom.2013.33     Document Type: Conference Paper

References (23)

1. Bijmolt, T., Leeflang, P., Block, F., Eisenbeiss, M., Hardie, B., Lemmens, A., and Saffert, P. "Analytics for Customer Engagement." Journal of Service Research (2010): 341-356.
2. Moe, W. and Fader, S. "Dynamic Conversion Behavior at E-Commerce Sites." Management Science (2004): 326-335
3. Pan, W., Aharony, N., and Pentland, A. "Fortune Monitor or Fortune Teller: Understanding the Connection between Interaction Patterns and Financial Status." In proc. IEEE International Conference on Social Computing 2011.
4. Aharony, N., Pan, W, Ip, C., Khayal, I, and Pentland, A. "The social fMRI: Measuring, understanding and designing social mechaniSMS in the real world." In Proceedings of the 13th ACM International Conference on Ubiquitous Computing, 2011.
5. Pan, W., Aharony N., and Pentland, A. "Composite social network for predicting mobile apps installation." Proceedings of the 25th Conference on Artificial Intelligence, AAAI-11, San Francisco, CA. 2011.
6. Christakis, N.A., and Fowler, J.H. Connected: The surprising power of our social networks and how they shape our lives. Little, Brown, 2009.
7. Becker, G. "A theory of social interactions." (1974).
8. Gonzalez, M. C., Hidalgo, C., and Barabasi, A.,. "Understanding individual human mobility patterns." Nature 453.7196 (2008): 779-782.
9. Eagle, N., and Pentland, A. "Reality mining: sensing complex social systems." Personal and Ubiquitous Computing 10.4 (2006): 255-268.
10. Pantelopoulos, A., and Bourbakis, N.G. "A survey on wearable sensorbased systems for health monitoring and prognosis." Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 40.1 (2010): 1-12.
11. Schor, Juliet B. The overspent American: Why we want what we don't need. William Morrow Paperbacks, 1999
12. Lu, H., Rabbi M., Chittaranjan, G., Frauendorfer, D., Mast, M.S, Campbell, A.T., Gatica-Perez, D., and Choudhury, T.,. "StressSense: Detecting Stress in Unconstrained Acoustic Environments using Smartphones." In Proc. 14th Int?l Conf. on Ubiquitous Computing, 2012.
13. Zhang, H. (2004). The optimality of naive Bayes. A A, 1(2), 3.
14. Lewis, David D. "Naive (Bayes) at forty: The independence assumption in information retrieval." Machine learning: ECML-98. Springer Berlin Heidelberg, 1998. 4-15
15. Staiano, J., Lepri, B., Aharony, N., Pianesi, F., Sebe, N., and Pentland, A. "Friends don?t Lie-Inferring Personality Traits from Social Network Structure." In Proceedings of the 13th ACM international conference on Ubiquitous computing. ACM, 2012.
16. Eagle, Nathan, Michael Macy, and Rob Claxton. "Network diversity and economic development." Science 328.5981 (2010): 1029-1031.
17. Twitter and Amex to let you pay with a hashtag, http://edition.cnn.com/ 2013/02/11/tech/social-media/twitter-hashtagpurchases/ index.html?hpt=hp-c3, last retrieved: 06/15/2013.
18. Moe, W. and Fader, S. "Dynamic Conversion Behavior at E-Commerce Sites." Management Science (2004): 326-335
19. A. Madan, M. Cebrian, D. Lazer, and A. Pentland. Social sensing for epidemiological behavior change. In Proceedings of the 12th ACM international conference on Ubiquitous computing, Ubicomp '10, pages 291-300, New York, NY, USA, 2010. ACM.
20. John, O. P., and Srivastava., S., "The Big Five trait taxonomy: History, measurement, and theoretical perspectives." Handbook of personality: Theory and research 2 (1999): 102-138.
21. Brandstätter, H. "Saving, income, and emotional climate of households related to personality structure." VSB-CentER Savings Project, Progress Report 38 (1996).
22. Duesenberry, J.S.,.Income, saving and the theory of consumer behavior. Vol. 87. Harvard University Press, 1967.
23. Linden, Greg, Brent Smith, and Jeremy York. "Amazon. com recommendations: Item-to-item collaborative filtering." Internet Computing, IEEE 7.1 (2003): 76-80.