Pei Lee, Laks VS Lakshmanan, Mitul Tiwari, Sam Shah

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014)


 

Abstract

Recommender systems have become very important for many online activities, such as watching movies, shopping for products, and connecting with friends on social networks. User behavioral analysis and user feedback (both explicit and implicit) modeling are crucial for the improvement of any online recommender system. Widely adopted recommender systems at LinkedIn such as” People You May Know” and” Endorsements” are evolving by analyzing user behaviors on impressed recommendation items.