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个人简介
At GESIS, I started as a research associate programming a comprehensive web-based information system for archiving social science studies as well as completing my my Ph.D. thesis on the topics Machine Learning, Data Mining, Recommender Systems, and Semantic Web. Furthermore, I lectured algebra and analysis exercise courses at the University of Applied Sciences Bonn-Rhein-Sieg. In 2016 I became the Team Lead of team “Knowledge Discovery” at the GESIS Computational Social Science (CSS) department, where we focus on developing and utilizing scalable machine learning, data mining and Semantic Web approaches to acquire, describe and enrich digital behavioral data.
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论文共 36 篇作者统计合作学者相似作者
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Narges Tavakolpoursaleh,Johann Schaible
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Handbook of Computational Social Science, Volume 1pp.219-239, (2021)
Philipp Schaer,Timo Breuer,Leyla Jael Castro,Benjamin Wolff,Johann Schaible, Narges Tavakolpoursaleh
CLEF (Working Notes)pp.394-418, (2021)
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