Lecture 36 of 44week-08
Lecture 36: Hybrid recommender systems
Prof. Mamata Jenamani · IIT Kharagpur
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- Recommender Systems, IIT Kharagpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Lecture 1: Recommender system and its business value
- Lecture 2: Types of recommender system-I
- Lecture 3: Types of recommender system-II
- Lecture 4: Data Collection
- Lecture 5: Data Description
- Lecture 06: Data preprocessing
- Lecture 07: Dimensionality Reduction
- Lecture 08: Introduction to machine learning-I
- Lecture 09: Introduction to machine learning-II
- Lecture 10: Introduction to machine learning-III
- Lecture 11: Distance and Similarity
- Lecture 12: Distance and Similarity (Continued)
- Lecture 13: User-Based Approach
- Lecture 14: Item-Based Approach
- Lecture 15: Additional Topics in Neighbourhood Based Approach
- Lecture 16: Association rule based model
- Lecture 17: UV Decomposition
- Lecture 18: The latent factor model
- Lecture 19: Basic latent factor models
- Lecture 20: Other advanced models
- Lecture 21: Introduction to content basedrecommender system: Foundations
- Lecture 22: Feature Engineering - I
- Lecture 23: Feature Engineering - II
- Lecture 24: Feature Engineering - III
- Lecture 25: Feature Engineering - IV
- Lecture 26: Decision Trees for content based recommendation
- Lecture 27: Naïve Bayes classifier for content based recommendation
- Lecture 28: kNN Classifier for Recommender System
- Lecture 29: Rule based classification
- Lecture 30: Regression methods and conclusions
- Lecture 31: Introduction to evaluation ofrecommender system
- Lecture 32: Resampling methods
- Lecture 33: Evaluation metrics for accuracy
- Lecture 34: Drawing reliable conclusions-I
- Lecture 35: Drawing reliable conclusions-II
- Lecture 36: Hybrid recommender systems
- Lecture 37: Knowledge based recommender systems
- Lecture 38: Context-Sensitive recommender systems
- Lecture 39: Structural Recommendations in Networks
- Lecture 40: Trust aware recommender systems
- Live Session 19-03-2024
- Live Session 15-04-2024
- Live Session 03-03-2025
- Live Session 03-04-2025