Covers: theory of Monolithic Systems
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Questions this item addresses:
  • What are monolith based Recommendation Systems?
  • What is a Meta-level Hybrid Recommendation System?
  • What is Feature Combination Hybrid Recommendation System?
How to use this item?

Section 6.7 and 6.6 The basic idea behind a monolith Recommendation System is to combine features from one recommendation system and use it as features for another Recommendation System.

Section 6.7 1. Meta-Level Hybrids: The model learned by one recommender is used as input to the next one. eg, build a user-word matrix for a restaurant recommender system and use this this to compute the the peer group and use that info along with a Collaborative methods to build one final Recommendation System.

Section 6.8: Feature Combination Hybrids: The basic idea is to combine the input data from various sources into a unified representation and use an existing technique to build a Recommendation System. For example: Augmenting the ratings matrix by adding columns for keywords obtained from knowledge-based systems.

Author(s) / creator(s) / reference(s)
Charu Aggarwal
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Recipe
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Ensemble based and Hybrid Recommender Systems

Collaborators
Total time needed: ~5 minutes
Objectives
Gives a basic idea of combining multiple individual recommendation systems to build a robust high-performing Recommendation System
Potential Use Cases
Build a Hybrid Recommendation System that combines the strengths and avoids the weakness of different techniques for building a Recommendation System.
Who is this for ?
INTERMEDIATEPeople with familiarity with various Recommendation System Building techniques like collaborative filtering, knowledge and content based recommendations,
Click on each of the following annotated items to see details.
ARTICLE 1. Hybrid Recommendation Systems
  • What are hybrid Systems?
  • Why do we need hybrid systems?
5 minutes
ARTICLE 2. Ensemble Based Recommendation Systems
  • What are ensemble based systems and why do we need them?
  • What is a Weighted Ensemble?
  • What is a Switching Ensemble?
  • What is a Cascade Ensemble?
  • What is a Feature Augmentation Ensemble?
10 minutes
ARTICLE 3. Monolith Recommendation Systems
  • What are monolith based Recommendation Systems?
  • What is a Meta-level Hybrid Recommendation System?
  • What is Feature Combination Hybrid Recommendation System?
10 minutes
ARTICLE 4. Mixed Recommendation Systems
  • What are mixed Hybrids? Why do we need them?
10 minutes

Concepts Covered

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