Introduction to Recommendation Systems Training Course

Course

In City Of London

Price on request

Description

  • Type

    Course

  • Location

    City of london

Audience
Marketing department employees, IT strategists and other people involved in decisions related to the design and implementation of recommender systems.
Format
Short theoretical background follow by analysing working examples and short, simple exercises.

Facilities

Location

Start date

City Of London (London)
See map
Token House, 11-12 Tokenhouse Yard, EC2R 7AS

Start date

On request

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Reviews

Subjects

  • Data Mining
  • Networks
  • Network
  • Design
  • Marketing
  • Data Collection
  • Web
  • Systems
  • Network Training
  • Network Management

Course programme

Challenges related to data collection

  • Information overload
  • Data types (video, text, structured data, etc...)
  • Potential of the data now and in the near future
  • Basics of Data Mining
Recommendation and searching
  • Searching and Filtering
  • Sorting
  • Determining weights of the search results
  • Using Synonyms
  • Full-text search
Long Tail
  • Chris Anderson idea
  • Drawbacks of Long Tail
Determining Similarities
  • Products
  • Users
  • Documents and web sites
Content-Based Recommendation i measurement of similarities
  • Cosine distance
  • The Euclidean distance vectors
  • TFIDF and frequency of terms
Collaborative filtering
  • Community rating
Graphs
  • Applications of graphs
  • Determining similarity of graphs
  • Similarity between users
Neural Networks
  • Basic concepts of Neural Networks
  • Training Data and Validation Data
  • Neural Network examples in recommender systems
How to encourage users to share their data
  • Making systems more comfortable
  • Navigation
  • Functionality and UX
Case Studies
  • Popularity of recommender systems and their problems
  • Examples

Introduction to Recommendation Systems Training Course

Price on request