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November 13 - 17, 2017
Organized by E-Business Centre of Excellence Department of Industrial & Systems Engineering, IIT Kharagpur |
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Recommender System helps business to increase their sales through cross-selling and advertisements. It discovers information about the items that are likely to be of interest to the users. More than 35% of product sales come from recommendations in Amazon.com, 66% of movies rented in Netflix are recommended ones, 38% more click-throughs are generated from recommendations in Google News. All these statistics tell about the importance of recommender system in the present day both from the perspective of end-user and industries running an online business. There are many challenges in designing the most suitable recommender systems in the context of specific real world scenarios. It opens the door of broad research opportunities in this application area of machine learning. Proposed course is designed to benefit both industry and academic participants by introducing the theoretical foundations and providing hands on practices for design and implementation of Recommender Systems.
Important Information
Objectives of the CourseTo build competency of the participants in broad area of recommender system and its applications. Course Content
Course Schedule
Training Methods
Eligibility
Course Coordinator
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