Time: 4:00 - 5:00 P.M.
Abstract: Recommendation systems occupy an expanding role in everyday decision making, from choice of movies and household goods to consequential medical and legal decisions. This talk will explore a sequence of work related to recommending decisions for people to take. First, she will examine the results of a large-scale study of television viewing habits, focusing on how individuals adapt their preferences when consuming content with others. Next, she will leverage our insights about the social behavior of individuals to incorporate social network information into a model for providing personalized recommendations. Finally, she will consider the impacts of recommendation algorithms like these on human choices and the homogeneity of group behavior.
A reception for attendees will be held at 3:30 P.M. in CS 150. (The back of the presentation room.)