user privacy

Representation Learning for Personalized Recommendation

Prof. Xiangliang Zhang

Sep 16, 12:00 - 13:00

B9 L2 H1 R2322

recommender systems e-commerce industry personalized recommendations learning representations user privacy

Abstract Recommender systems have already been successfully used in e-commerce industry and have been influencing our daily lives. We may all have got (personalized) recommendation of news, music, movies, videos, books, restaurants, hotels, etc. This talk will introduce the recent research in my group about promoting personalized recommendation by learning representations for users/objects to recommend. Examples of applications will be given for recommendation of the next movie to watch, the interesting research papers to read, the useful datasets to explore, and interesting places to visit