Go to content
UR Home

Situation Awareness for Recommender Systems

Richthammer, Christian and Pernul, Günther (2018) Situation Awareness for Recommender Systems. Electronic Commerce Research.

Download (2MB) - Repository staff only
Download (2MB) - Repository staff only
PDF - Accepted Version
Download (3MB)
Date of publication of this fulltext: 07 Dec 2017 08:17

at publisher (via DOI)

Other URL: https://rdcu.be/97SD


One major shortcoming of traditional recommender systems is their inability to adjust to users’ short-term preferences resulting from varying situation-specific factors. To address this, we propose the notion of situation-aware recommender systems, which are supposed to autonomously determine the users’ current situation based on a multitude of contextual side information and generate truly ...


Export bibliographical data

Item type:Article
Date:24 October 2018
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Identification Number:
Keywords:Recommender systems, Situation awareness, Context awareness, Contextual side information, Situation-aware recommender systems
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36384
Owner only: item control page


Downloads per month over past year

  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons