Introduction to Recommendation Systems Training Course

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Course Language

This course is delivered in German or English.

Course Code

psr

Duration Duration

7 hours (usually 1 day including breaks)

Requirements Requirements

Basic knowledge of e-commerce platforms (can be as a user of these platforms).

Overview Overview

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.

Course Outline Course Outline

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

Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 2020EUR
(25)
Private Classroom Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
From 2020EUR
Request quote
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 1780EUR
Request quote

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Classroom Private Remote
1 2020EUR 2020EUR 1780EUR
2 1375EUR 1350EUR 1230EUR
3 1160EUR 1127EUR 1047EUR
4 1053EUR 1015EUR 955EUR
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
DüsseldorfWed, 2016-10-12 09:301780EUR / 2130EUR
Frankfurt am MainMon, 2016-10-17 09:301780EUR / 2130EUR
LeipzigMon, 2016-10-17 09:301780EUR / 2130EUR
PotsdamTue, 2016-10-18 09:301780EUR / 2130EUR
StuttgartTue, 2016-10-18 09:301780EUR / 2130EUR

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