My.Media.Lite is a lightweight, multi-purpose library of recommender system algorithms written in C#. It addresses the two most common scenarios in collaborative filtering: - rating prediction (e.g. on a scale of 1 to 5 stars), and - item prediction from implicit feedback (e.g. from clicks or purchase actions). In the talk I will give a short introduction to recommender systems algorithms, explain the features of My.Media.Lite, and briefly demonstrate how to integrate it into your (Python/Ruby/C#) applications. More information about My.Media.Lite can be found here: http://ismll.de/mymedialite

Level of experience: No prior knowledge about recommender systems or machine learning is necessary, so the talk is also suited to newbies to the field (but not limited to them)