Oliver Baumann

Oliver Baumann
University of Bayreuth · Professorship for Data Modelling & Interdisciplinary Knowledge Generation

Master of Science

About

2
Publications
114
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1
Citation
Introduction
Skills and Expertise
Text Mining
Ontologies
Recommender Systems
Information Extraction
Social Network Analysis
Natural Language Processing
Machine Learning
Knowledge Discovery
Data Mining and Knowledge Discovery
Information Retrieval
Education
September 2014 - February 2018
Ludwig-Maximilians-University of Munich
Ludwig-Maximilians-University of Munich
Field of study
  • Computer Science
May 2011 - September 2014
Ludwig-Maximilians-University of Munich
Ludwig-Maximilians-University of Munich
Field of study
  • Mediainformatics

Publications

Publications (2)
Figure 1: IDF scores of top 100 genres in ascending order; the dashed...
Figure 2: Degree distribution in bipartite knowledge graph (bin-width:...
Figure 3: Scoring functions (left: popularity-discounted scoring;...
Figure 4: Heatmap of mean Jaccard index for pairs of algorithms.
+2 Evaluating Intra-list Diversity
Supporting Serendipitous Recommendations With Knowledge Graphs
Conference Paper
Full-text available
  • Jul 2022
Recommender systems are commonly designed and evaluated with high precision and accuracy in mind. Optimising systems for these metrics alone can, however, lead to a decrease in overall collection coverage of recommended items, and overemphasize popular content. In order to present useful suggestions to users, it has been argued that a recommender s...
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