A Model for Recommendation Systems — past-year questions
Big Data Analysis (CSC702) · Semester 7 · Module 5 · Comps
6 past-year questions on A Model for Recommendation Systems have appeared in Mumbai University CSC702 papers between 2024–2026, 6 times in total. Every question is shown in full below with its marks and repeat count. Model answers require a free account.
Questions asked on A Model for Recommendation Systems
- 1.
Describe content-based recommendation system.
10M1× seenlast asked 2026 - 2.
Describe terms TF and IDF with respect to content based filtering.
5M1× seenlast asked 2025 - 3.
What is recommendation system? How is classification algorithm used in recommendation system?
10M1× seenlast asked 2025 - 4.
Predict rating of user 2 for Movie 3 using Pearson's Correlation coefficient. | users | Movie 1 | Movie 2 | Movie 3 | Movie 4 | Movie 5 | |---|---|---|---|---|---| | User1 | 2 | 3 | 2 | 1 | 1 | | User2 | 3 | 4 | ? | 4 | 3 | | User3 | 4 | 3 | 4 | 3 | 3 |
10M1× seenlast asked 2025 - 5.
Justify the use of a Content-Based Recommendation System with a specific case study.
10M1× seenlast asked 2024 - 6.
Describe collaborative filtering in recommendation system.
10M1× seenlast asked 2024
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