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?
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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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Ensemble Based And Hybrid Recommender Systems

Contributors
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,
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Resources4/4
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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