Introduction to Recommendation Systems Training Course

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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

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
From 1198PLN
(22)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
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.
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

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 Remote
1 1198PLN 3990PLN
2 999PLN 2395PLN
3 933PLN 1863PLN
4 900PLN 1598PLN
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VenueCourse DateCourse Price [Remote / Classroom]
Toruń, ul. Żeglarska 10/14Tue, 2017-10-17 09:003990PLN / 1298PLN
Zielona Góra, ul. Reja 6Tue, 2017-10-17 09:003990PLN / 1248PLN
Białystok, ul. Malmeda 1Wed, 2017-10-18 09:003990PLN / 1348PLN
Olsztyn, ul. Kajki 3/1Wed, 2017-10-18 09:003990PLN / 1248PLN
Gliwice ul. Karola Marksa 11 Fri, 2017-10-20 09:003990PLN / 1348PLN

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