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Course Information

Recommendation System Training Course Outline

Introduction to Recommender Systems

  • What is Recommender System?
  • Goals of Recommender System
  • Basic Models of Recommender System
  • Domain-Specific Challenges

Collaborative Recommendation

  • User and Item Based Neighbor Recommendation
  • Model-Based and Preprocessing-Based Approaches
  • Practical Approaches and Systems

Knowledge-Based Recommendation

  • Knowledge Representation and Reasoning
  • Interacting with Constraint-Based Recommenders
  • Interacting with Case-Based Recommenders

Hybrid Recommendation Approaches

  • Opportunities for Hybridisation
  • Monolithic Hybridisation Design
  • Parallelised Hybridisation Design
  • Pipelined Hybridisation Design

Recommender Systems Explanations

  • Constraint-Based Recommenders
  • Case-Based Recommenders
  • Collaborative Filtering Recommenders

Evaluating Recommender Systems

  • Properties of Evaluation Research
  • Popular Evaluation Designs
  • Evaluation of Historical Datasets
  • Alternate Evaluation Designs

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There are no prerequisites to attend this course.


Anyone wishes to have a comprehensive knowledge of Recommendation system can attend this course. This course is well-suited for:

  • Machine Learning Engineers
  • Data engineers and Scientists
  • Data Analysts

Recommendation System Training​ Course Overview

A Recommendation system is an extensive class of web applications comprising predicting the user responses to the options. It is a data filtering tool that analyses historical data for predicting what users will be interested in and create accurate recommendations. This system is mostly used in social media, e-commerce platforms, and content-based services. This Recommendation System Training is designed to equip delegates with a knowledge of all the fundamental techniques in the recommender system.

In this Recommendation System Training, delegates will learn about basic concepts of recommendation systems. Delegates will get an understanding of model-based and preprocessing-based approaches. In addition, delegates will learn how to interact with constraint and case-based recommenders.

During this 1-day training, delegates will gain extensive knowledge of hybrid recommendation approaches. This course will introduce delegates to explanations in constraint, case, and collaborative based recommenders. Post completion of this course, delegates will be able to evaluate recommender systems.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.


Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.


State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible


Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience


Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.


Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.


Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.


Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.


Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Recommendation System Training FAQs


Please arrive at the venue at 8:45am.
There are no prerequisites to attend this course.
Anyone wishes to have a comprehensive knowledge of Recommendation system can attend this course. This course is well-suited for: Machine Learning Engineers, Data engineers and Scientists, Data Analysts.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Recommendation System Training certification in Philippines starts from $1695
The Knowledge Academy is the Leading global training provider in the world for Recommendation System Training.

Why choose us


Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.


Many delivery methods

Flexible delivery methods are available depending on your learning style.


High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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