Recommender Systems Capstone

This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance. Learners in the honors track will focus on experimental evaluation of the algorithms against medium sized datasets. The standard track will include a mix of provided results and spreadsheet exploration. Both groups will produce a capstone report documenting the analysis, the selected solution, and the justification for that solution

• Analyze recommender system goals to design appropriate solutions
• Evaluate recommender algorithms performance on real datasets
• Produce comprehensive reports documenting analysis and design

• Basic computer and internet skills
• Ability to follow course instructions in English and complete short practice activities