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Automated Experiments on Ad Privacy Settings
A Tale of Opacity, Choice, and Discrimination

References [1] J. R. Mayer and J. C. Mitchell, “Third-party web tracking: Policy and technology,” in IEEE Symposium on Security and Privacy, 2012, pp. 413-427. [2] B. Ur, P. G. Leon, L. F. Cranor, R. Shay, and Y. Wang, “Smart, useful, scary, creepy: Perceptions of online behavioral advertising,” in Proceedings of the Eighth Symposium on Usable Privacy and Security. ACM, 2012, pp. 4:1-4:15. [3] Google, “About ads settings,” ads/answer/2662856, accessed Nov. 21, 2014. [4

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Emotional State of Consumer in the Urban Purchase: Processing Data

: Nauka. [5] Baevsky, R.M., Berseneva, A.P., 1997. Estimation of Adaptable Opportunities of an Organism and Risk of Diseases Development. Mascow: Medicine [in Russian]. [6] Bakker, J., Pechenizkiy, M., Sidorova, N., 2011. What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data. In 2011 IEEE 11th International Conference on Data Mining Workshops, pp.573-580. [7] Baumeister, R.F., 2002. Yielding to Temptation: Self-control Failure, Impulsive Purchasing, and Consumer Behaviour. Journal of Consumer

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Insurance Dynamics – A Data Mining Approach for Customer Retention in Health Care Insurance Industry

? - Advertising Age, Vol. 9, 1952, 53-55. 8. Fournier, S., J. L. Yao. Reviving Brand Loyalty: A Reconceptualization Within the Framework of Customer-Brand Relationships. - International Journal of Research in Marketing, Vol. 14, 1997, No 5, 451-472. 9. Francis, L. Neural Networks Demystified. Casualty Actuarial Society Forum, 2001, 252-319. 10. Haberman, S., A. E. Renshaw. Actuarial Applications of Generalized Linear Models. - In: D. J. Hand, S. D. Jacka, Eds. London, Statistics in Finance, Arnold, 1998. 11. Han, J

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Data Analytics in CRM Processes: A Literature Review

. [30] S. Palanimalai and I. Paramasivam, “Big Data Analytics Bring New Insights and Higher Business Value - an Experiment Carried Out to Divulge Sales Forecasting Solutions,” International Journal of Advanced Intelligence Paradigms, vol. 8, no. 2, p. 207, 2016. [31] A. Kumar, R. Bezawada, R. Rishika, R. Janakiraman, and P. K. Kannan, “From Social to Sale: The Effects of Firm-Generated Content in Social Media on Customer Behavior,” Journal of Marketing, vol. 80, no. 1, pp. 7-25, Jan. 2016.

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Investigation Influence of Store Type on Emotional State of Consumer in the Urban Purchase

., Swithenby, S., 2004. Salience and Choice: Neural Correlates of Shopping Decisions. Psychology & Marketing , 21(4), p.247-261. [5] Andreassi, J., 2007. Psychophysiology: Human Behavior And Physiological Response. In Psychophysiology: Human Behaviour & Physiology Response , Lawrence Erlbaum. [6] Areni, C. S., Kim, D., 1993. The Influence of Background Music on Shopping Behavior: Classical Versus Top-Forty Music in a Wine Store . ACR North American Advances. [7] Babin, B. J., Hardesty, D. M., Suter, T.A., 2003. Color and Shopping Intentions: The

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The Study Of Properties Of The Word Of Mouth Marketing Using Cellular Automata

word-of mouth, Management Science, 30 , 12, 1984, 1389 [11] Brown J. J., Reingen P. H., Social Ties and Word-of-Mouth Referral Behavior, Journal of Consumer Research, 14 , 1987, 350 - 362. [12] Hennig-Thurau, T., Walsh, G., Electronic word-of-mouth: motives for and consequences of reading consumer articulations on the Internet, International Journal of Electronic Commerce, 8 , 2, Winter, 2004, 51-74. [13] Steffes E. M., Burgee L. E., Social ties and online word of mouth, Internet Research, 19 , 1, 2009, 42

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Cross-Device Tracking: Measurement and Disclosures

References [1] Federal Trade Comm’n, “Privacy Online: Fair Information Practices in the Electronic Marketplace,” , May 2000. [2] Federal Trade Comm’n, “Self-Regulatory Principles for Online Behavioral Advertising,”

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“Won’t Somebody Think of the Children?” Examining COPPA Compliance at Scale

. [14] X. Cai and X. Zhao. Online Advertising on Popular Children’s Websites: Structural Features and Privacy Issues. Computers in Human Behavior, 2013. [15] P. Carter, C. Mulliner, M. Lindorfer, W. Robertson, and E. Kirda. CuriousDroid: Automated User Interface Interaction for Android Application Analysis Sandboxes. In Proc. of FC, 2016. [16] L. Cavallaro, P. Saxena, and R. Sekar. On the Limits of Information Flow Techniques for Malware Analysis and Containment. In Proc. of DIMVA, pages 143-163. Springer- Verlag, 2008

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The Effects of B2C Interaction on Customer Loyalty

. Labarbera P.A. 2001 Consumer behavior in web-based commerce: An empirical study International Journal of Electronic Commerce 6 2 115 138 Kuehn, A.A. (1962). Consumer brand choice as a learning process. Journal of Advertising Research, 2(4), 10–17. Kuehn A.A. 1962 Consumer brand choice as a learning process Journal of Advertising Research 2 4 10 17 Lee, J. (2017). The assessment tool for user perceived interactivity from ACG website interactivity on imagination. Communications in Computer and Information Science, 713, 57–65. 10.1007/978-3-319-58750-9_8 Lee J. 2017 The

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Digitizing Dunhuang Cultural Heritage: A User Evaluation of Mogao Cave Panorama Digital Library

for the Web presence of local heritage, on the aspects of usability, content, aesthetics, and Web 2.0 services. Together with interviews with local study librarians, their findings suggest that, among other things, researchers and practitioners should continue developing knowledge of users’ expectations and information seeking behaviors, which can inform decision making on preservation practice, strategy, and policies ( Smith & Rowley, 2012 ). In their framework of “information representation design,” Abbas et al. (2016) also argued that, in the spirit of user

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