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
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6 papers · 1 filter
On the Information Dimension of Multivariate Gaussian Processes
Bernhard C. Geiger, Tobias Koch
The authors have recently defined the Rényi information dimension rate of a stationary stochastic process as the entropy rate of the uniform…
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…
A Generalized Framework for Kullback-Leibler Markov Aggregation
Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger
This paper proposes an information-theoretic cost function for aggregating a Markov chain via a (possibly stochastic) mapping. The cost function is motivated by two objectives: 1)…
Activity Archetypes in Question-and-Answer (Q&A) Websites - A Study of 50 Stack Exchange Instances
Tiago Santos, Simon Walk, Roman Kern +2
Millions of users on the Internet discuss a variety of topics on Question-and-Answer (Q&A) instances. However, not all instances and topics receive the same amount of attention, as…
On the Information Dimension of Stochastic Processes
Bernhard C. Geiger, Tobias Koch
In 1959, Rényi proposed the information dimension and the -dimensional entropy to measure the information content of general random variables. This paper proposes a generalizati…
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…