25 citations
- Elisabeth Lex2 profiles9 · h 25
- Dominik Kowald2 profiles6 · h 23
- Peter Kraker2 profiles5 · h 14
- Emanuel Lacić2 profiles4 · h 14
- Christoph Trattner3
- Christian Gumpenberger2 profiles2 · h 19
- Denis Parra2
- Isabella Peters2 profiles2 · h 26
- Markus Reiter-Haas2
- Paul Seitlinger2
- Valentin Slawicek2 · h 2
- Asura Enkhbayar1 · h 6
- Graz University of TechnologyAT5 papers
- Pontificia Universidad Católica de ChileCL2 papers
- Christian-Albrechts-Universität zu KielDE1 paper
- Institute of Computer Vision and Applied Computer SciencesDE1 paper
- Institut für InformationsverarbeitungDE1 paper
- Johannes Kepler University of LinzAT1 paper
- Mendeley (United Kingdom)GB1 paper
- University of GrazAT1 paper
- University of PittsburghUS1 paper
- University of ViennaAT1 paper
16 papers
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
Dominik Kowald, Elisabeth Lex, Markus Schedl
Music recommender systems have become central parts of popular streaming platforms such as Last.fm, Pandora, or Spotify to help users find music that fits their preferences. These…
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic +2
In this work, we present the findings of an online study, where we explore the impact of utilizing embeddings to recommend job postings under real-time constraints. On the Austrian…
ConTExT: Leakage-Free Transient Execution
Michael Schwarz, Robert Schilling, Florian Kargl +3
Out-of-order execution and speculative execution are among the biggest contributors to performance and efficiency of modern processors. However, they are inconsiderate, leaking sec…
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations
Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas +2
In this work, we address the problem of recommending jobs to university students. For this, we explore the utilization of neural item embeddings for the task of content-based recom…
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
Dominik Kowald, Subhash Pujari, Elisabeth Lex
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and search for content, and to spread short messages across members of the social network. In…
From Data to Visualisations and Back: Selecting Visualisations Based on Data and System Design Considerations
Belgin Mutlu, Vedran Sabol, Heimo Gursch +1
Graphical interfaces and interactive visualisations are typical mediators between human users and data analytics systems. HCI researchers and developers have to be able to understa…