Priv.-Doz. Dr Luis Terán An introduction to recommender systems for e-commerce and new challenges
Recommender systems (RSs) are computer-based techniques that attempt to present information about products that are likely to be of interest to a user. These techniques are mainly used in electronic commerce (e-commerce) in order to provide suggestions on items that a customer is, presumably, going to like.
Your added value in terms of trade
Recommender systems have been highly used and play an important role in different Internet sites that offer products and services in social networks, such as Amazon, YouTube, Netflix, Yahoo!, TripAdvisor, Facebook, and Twitter, among others. Many different companies are developing RSs techniques as an added value to the services they provide to their subscribers.
Details on the speaker
Luis Terán (1979) is currently working as senior researcher at the Human-IST Institute, University of Fribourg, Switzerland and he is a full professor at Universidad de Las Fuerzas Armadas (ESPE), Ecuador. He earned a Ph.D. in computer science at the University of Fribourg. In 2009, he finished a M.Sc. in communication systems from the Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Sponsor: University of Fribourg