Amit Datta, Michael Carl Tschantz and Anupam Datta
 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.
 B. Ur, P. G. Leon, L. F. Cranor, R. Shay, and Y. Wang, “Smart, useful, scary, creepy: Perceptions of online behavioraladvertising,” in Proceedings of the Eighth Symposium on Usable Privacy and Security. ACM, 2012, pp. 4:1-4:15.
 Google, “About ads settings,” https://support.google.com/ ads/answer/2662856, accessed Nov. 21, 2014.
 Baevsky, R.M., Berseneva, A.P., 1997. Estimation of Adaptable Opportunities of an Organism and Risk of Diseases Development. Mascow: Medicine [in Russian].
 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.
 Baumeister, R.F., 2002. Yielding to Temptation: Self-control Failure, Impulsive Purchasing, and Consumer Behaviour. Journal of Consumer
? - 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
 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. https://doi.org/10.1504/ijaip.2016.075728
 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. https://doi.org/10
Andrii Halkin, Kseniia Bliumska-Danko, Olena Smihunova, Elena Dudnyk and Iryna Balandina
., Swithenby, S., 2004. Salience and Choice: Neural Correlates of Shopping Decisions. Psychology & Marketing , 21(4), p.247-261.
 Andreassi, J., 2007. Psychophysiology: Human Behavior And Physiological Response. In Psychophysiology: Human Behaviour & Physiology Response , Lawrence Erlbaum.
 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.
 Babin, B. J., Hardesty, D. M., Suter, T.A., 2003. Color and Shopping Intentions: The
word-of mouth, Management Science, 30 , 12, 1984, 1389
 Brown J. J., Reingen P. H., Social Ties and Word-of-Mouth Referral Behavior, Journal of Consumer Research, 14 , 1987, 350 - 362.
 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.
 Steffes E. M., Burgee L. E., Social ties and online word of mouth, Internet Research, 19 , 1, 2009, 42
Justin Brookman, Phoebe Rouge, Aaron Alva and Christina Yeung
 Federal Trade Comm’n, “Privacy Online: Fair Information Practices in the Electronic Marketplace,” https://www.ftc.gov/sites/default/files/documents/reports/privacy-online-fair-information-practices-electronic-marketplace-federal-trade-commission-report/privacy2000.pdf , May 2000.
 Federal Trade Comm’n, “Self-Regulatory Principles for Online BehavioralAdvertising,” https://www.ftc.gov/sites/default/files/documents/reports/federal-trade-commission-staff-report-self-regulatory-principles-online-behavioral-advertising/p085400
Irwin Reyes, Primal Wijesekera, Joel Reardon, Amit Elazari Bar On, Abbas Razaghpanah, Narseo Vallina-Rodriguez and Serge Egelman
 X. Cai and X. Zhao. Online Advertising on Popular Children’s Websites: Structural Features and Privacy Issues. Computers in Human Behavior, 2013.
 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.
 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
. 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
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