Scalable Recommender/Advertising Systems, Speaker Joaquin A. Delgado, PhD. 20130923

This is a radical departure from the traditional item-based and user-based collaborative filtering approach to recommender systems, which fails to factor-in context, such as time-of-day, geo-location or category of the surrounding content to generate more accurate recommendations. Traditional approaches also fail to recognize that recommendations don't happen in a vacuum and as such may require the evaluation of business constraints and objectives. All this should be considered when designing and developing true commercial recommender/advertising systems.

Видео Scalable Recommender/Advertising Systems, Speaker Joaquin A. Delgado, PhD. 20130923 канала San Francisco Bay ACM