Loading...
hidden

View Mobile version

Meta navigation

Startseite – Hochschule Luzern

Language selection and important links

  • Contents
  • Contact
  • Login
  • De
  • En
Search

Main navigation

School navigation

  • Engineering and Architecture
  • Business
  • Computer Science
  • Social Work
  • Design, Film and Art​
  • Music
  • Health Sciences

Sub-navigation

  • Degree Programmes
  • Continuing Education
  • Research
  • International
  • Campus
  • About us
  • News

Sub-navigation

Breadcrumbs

  1. Research Research
  2. Research and Services Projects Research and Services Projects
  3. STUcard Recommender Systems STUcard Recommender Systems

STUcard Recommender Systems

Development of recommender technologies for the youth platform STUcard

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

04.12.2015 - 31.12.2024

Overview

Jaywalker AG operates the youth platform of the cantonal banks STUcard. We specify and develop recommender algorithms tailored to the specific needs of STUcard using existing customer data, behavioral data and comsum data. In particular, we research transformer models for "next purchase prediction" based on bank transaction data.

hidden

Facts

Type of project

Forschung

Internal organisations involved
  • Algorithmic Business F&E
External project funder
  • Jaywalker GmbH
Funding
  • Private / Stiftungen
hidden

Links

  • E-Commerce Demo Plattform

  • STUcard

  • Jaywalker

hidden

Persons involved: internal

Project manager
  • Marc Pouly
Member of project team
  • Florian Bär
  • Marc Bravin
  • Jakob Fender
  • Sita Mazumder
  • Alessandro Motta
  • Daniel Pfäffli
  • Adrian Willi
  • Pascal Wullschleger

Publications

  • Book/catalogue (1)

    • Pouly, Marc & Kuhn, Kevin (2019). Recommender Systems: Mit Künstlicher Intelligenz zu mehr Umsatz, dank besserer Empfehlungen. Luzern: E-Book.

  • Article, review; peer reviewed (1)

    • vor der Brück, Tim & Pouly, Marc (2019). Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019(1), 1827-1836. doi: 10.18653/v1/N19-1181

  • Article, review; not peer reviewed (1)

    • Pouly, Marc (13.10.2017). Online Marketing mit Machine Learning und Natural Language Processing. audimax Medien, 33.

  • Theses (Bachelor/Master/Dissertation/Habilitation) (1)

    • von Gunten, Christian (2020). An Evaluation of Gaussian Processes for Recommender Systems (nicht veröffentlichte Master-/Lizentiats-/Diplomarbeit). Hochschule Luzern - Informatik, Schweiz.

  • Presentation (conference/report/lectures) (1)

    • vor der Brück, Tim; Pouly, Marc & Unternährer, Markus (10.06.2017). Targeted Marketing Using Unsupervised Language Processing. SwissText, Winterthur, Schweiz.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

12/04/2015 - 12/31/2024

Project Head

Prof. Dr. Marc Pouly

Co-Head Applied AI Research Lab

+41 41 757 68 25

Show email

Footer(s)

FH Zentralschweiz

Social media links

  •  Instagram
  •  LinkedIn
  •  TikTok
  •  Facebook
  •  YouTube
  •  Flickr

Contact

Logo Lucerne University of Applied Sciences and Arts

Lucerne University of Applied Sciences and Arts


Werftestrasse 4
6002 Luzern

+41 41 228 42 42

info@hslu.ch

Direct entry

  • Bachelor’s Degree
  • Master’s Degree
  • Prospective Students (Continuing & Executive Programmes)
  • For Students
  • For Employees

Quick link

  • People Finder
  • University Buildings & Campus Locations
  • News
  • Libraries
  • Events
  • Media Relations
  • Jobs and Careers
  • Home
  • Hiring Rooms

Static links

  • Newsletter
  • Data protection notice
  • Publishing Acknowledgements
Logo Swissuniversities

QrCode

QrCode