Course12710539044 lectures
Recommender Systems
Prof. Mamata Jenamani · IIT Kharagpur
Lectures
week-01
- 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
week-02
- 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
week-03
- 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
week-04
- 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
week-05
- 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
week-06
- 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
week-07
- 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
week-08
- 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
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Multidisciplinary
- Teacher
- Prof. Mamata Jenamani
- Level
- Undergraduate
- Language
- English
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed