Machine Learning based Recommendations Systems

Recommendation systems have become the core part of web portals - be it on Content, Commerce, Services - to offer personalized suggestions.  Many marquee online brands have proved this in terms of revenue growth, increased audience, loyalty etc. In this session, we intend to explain difefrent techiniques to build a ML-based Recommendation system.  We will dive into Collaborative filtering, Content filtering and Hybrid models for such an engine and cover the Clustering and Regressions algorithms which form the backbone of these Recommendation systems.

This sessions will be useful for both business and technical attendees. We expect that, at the end of the sessions, the attendees will have a fair idea about Recommendation systems and how to go about it a high level.