200 citations
- Graz University of TechnologyAT52 papers
- Johannes Kepler University of LinzAT9 papers
- University of GrazAT7 papers
- Technical University of MunichDE4 papers
- Washington University in St. LouisUS4 papers
- GESIS - Leibniz Institute for the Social SciencesDE3 papers
- Pontificia Universidad Católica de ChileCL3 papers
- Tallinn UniversityEE3 papers
- Austrian Academy of SciencesAT2 papers
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- Institut für InformationsverarbeitungDE2 papers
12 papers · 1 filter
Pointing in the Right Direction - Securing Memory Accesses in a Faulty World
Robert Schilling, Mario Werner, Pascal Nasahl +1
Reading and writing memory are, besides computation, the most common operations a processor performs. The correctness of these operations is therefore essential for the proper exec…
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views
Elisabeth Lex, Mario Wagner, Dominik Kowald
In this work, we propose a content-based recommendation approach to increase exposure to opposing beliefs and opinions. Our aim is to help provide users with more diverse viewpoint…
Studying Confirmation Bias in Hashtag Usage on Twitter
Dominik Kowald, Elisabeth Lex
The micro-blogging platform Twitter allows its nearly 320 million monthly active users to build a network of follower connections to other Twitter users (i.e., followees) in order…
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
In this paper, we present work-in-progress on applying user pre-filtering to speed up and enhance recommendations based on Collaborative Filtering. We propose to pre-filter users i…
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
Dominik Kowald, Emanuel Lacic, Dieter Theiler +1
In this paper, we present preliminary results of AFEL-REC, a recommender system for social learning environments. AFEL-REC is build upon a scalable software architecture to provide…
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence
Tomislav Duricic, Emanuel Lacic, Dominik Kowald +1
User-based Collaborative Filtering (CF) is one of the most popular approaches to create recommender systems. This approach is based on finding the most relevant k users from whose…