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  2. Eventfrog Recommender Technologies Eventfrog Recommender Technologies

Eventfrog Recommender Technologies

Using Machine Learning to become the leading data broker and market place in the event industry.

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

01.10.2021 - 01.10.2023

Overview

Eventfrog's award-winning business model is disrupting the event industry with free ticketing services. We use machine learning to automate the data and service brokerage for event organizers and make the existing business scalable for further expansion.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
Funding
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)
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Links

  • Eventfrog

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Persons involved: internal

Project manager
  • Marc Pouly
Project Co-Head
  • Marc Bravin
Member of project team
  • Andrin Bürli
  • Solange Emmenegger
  • Reza Kakooee
  • Pascal Wullschleger

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

10/01/2021 - 10/01/2023

Project Head

Prof. Dr. Marc Pouly

Lecturer

+41 41 757 68 25

Show email

Project Co-Head

Marc Bravin

Senior Research Associate, Doctoral Student

+41 41 228 24 58

Show email

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FH Zentralschweiz

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Lucerne University of Applied Sciences and Arts


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+41 41 228 42 42

info@hslu.ch

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