Similar to Netflix, Disney is feeding behavioral data into algorithms to personalize viewing experiences for its subscribers (Disney Plus and ESPN). Examples of data include what users watched, what they didn't, what was shown, what they clicked, when they clicked and watched, and how well the viewing history matches others' history (Forbes, 2022). Disney adopts online tracking technologies and advertising (Disney, n.d.) to personalize content and experiences for its. customers on Disney Plus. About the use of collection information, please refer to Disney's privacy policy here. Utilizing data and algorithms to personalize customer experiences has become a trend in the business world. Besides, some users become intoxicated in these personalized experiences because of personal, intimate, and individualized feelings. However, it is argued that those media streaming providers focus more on the accuracy of the recommender or recommendation systems rather than data privacy and ethics (Kitazawa, 2021). Milano et al. (2020) added that brands have to consider the views of multiple stakeholders in optimizing the recommendation systems, and also six ethical challenges about inappropriate content, privacy, autonomy and personal identity, opacity, fairness, as well as social effects. Read the case above and search for relevant information on the Internet, then answer the following questions: A. Do you think that Netflix's recommendations on movies or dramas are kinds of direct marketing under CAP 486 ? Why or why not? B. To what extent do you support the use of recommendation algorithms for providing personalized experiences for customers like Netflix and Disney? Why or why not? C. If you were a marketing manager of a newly developed media streaming provider, how would you develop recommendation systems for your customers? Why