Abstract
Contemporary users (players, consumers) of digital games
have thousands of products to choose from, which makes nding games
that t their interests challenging. Towards addressing this challenge, in
this paper two dierent formulations of Archetypal Analysis for Top-L
recommender tasks using implicit feedback are presented: factor- and
neighborhood-oriented models. These form the rst application of rec-
ommender systems to digital games. Both models are tested on a dataset
of 500,000 users of the game distribution platform Steam, covering game
ownership and playtime data across more than 3000 games. Compared to
four other recommender models (nearest neighbor, two popularity mod-
els, random baseline), the archetype based models provide the highest
recall rates showing that Archetypal Analysis can be successfully applied
for Top-L recommendation purposes
have thousands of products to choose from, which makes nding games
that t their interests challenging. Towards addressing this challenge, in
this paper two dierent formulations of Archetypal Analysis for Top-L
recommender tasks using implicit feedback are presented: factor- and
neighborhood-oriented models. These form the rst application of rec-
ommender systems to digital games. Both models are tested on a dataset
of 500,000 users of the game distribution platform Steam, covering game
ownership and playtime data across more than 3000 games. Compared to
four other recommender models (nearest neighbor, two popularity mod-
els, random baseline), the archetype based models provide the highest
recall rates showing that Archetypal Analysis can be successfully applied
for Top-L recommendation purposes
Originalsprog | Engelsk |
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Titel | Proceedings of the 16th LWA Workshops: KDML, IR and FGWM |
Redaktører | Thomas Seidl, Marwan Hassani, Christian Beecks |
Forlag | CEUR Workshop Proceedings |
Publikationsdato | 2014 |
Sider | 45-56 |
Status | Udgivet - 2014 |
Begivenhed | Learning, Knowledge, Adaption (LMA) Conference - Aachen, Tyskland Varighed: 8 sep. 2014 → 10 sep. 2014 |
Konference
Konference | Learning, Knowledge, Adaption (LMA) Conference |
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Land/Område | Tyskland |
By | Aachen |
Periode | 08/09/2014 → 10/09/2014 |
Navn | CEUR Workshop Proceedings |
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Vol/bind | 1226 |
ISSN | 1613-0073 |