Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Maximilian Jenders

Hasso-Plattner-Institut
für Softwaresystemtechnik
Prof.-Dr.-Helmert-Straße 2-3
D-14482 Potsdam

Phone: +49 331 5509 289
Fax: +49 331 5509 287
Room: E-2.01-2
Email:  Maximilian Jenders

 


Research Interests

  • Web Mining
  • Opinion Mining
  • Text Mining
  • Newspaper Text Analysis
  • Text Recommendation
  • Social Media Analysis
  • Machine Learning
  • Data Mining
  • MOOC courses

Supervisions

Co-Supervised Master's Theses:

  • Lukas Schulze: Profiling Log Messages For Unknown Error Detection (finished, 2015)
  • Tobias Schubotz: Online Temporal Summarization of News Articles (finished, 2014)
  • Mandy Roick: A Topic-Based Search for Microblog Posts (finished, 2014)
  • Thorben Lindhauer: A Content-Based Serendipity Model for News Recommendation (finished, 2014)

 

 

Publications

  • Which Answer is Best? Predicting Accepted Answers in MOOC Forums. Jenders, Maximilian; Krestel, Ralf; Naumann, Felix (2016). 679-684.
     
  • A Serendipity Model For News Recommendation. Jenders, Maximilian; Lindhauer, Thorben; Kasneci, Gjergji; Krestel, Ralf; Naumann, Felix in Lecture Notes in Computer Science (2015). (Vol. 9324) 111-123.
     
  • How to Stay Up-to-date on Twitter with General Keywords. Roick, Mandy; Jenders, Maximilian; Krestel, Ralf in CEUR Workshop Proceedings (2015). (Vol. 1458)
     
  • Ein Datenbankkurs mit 6000 Teilnehmern. Naumann, Felix; Jenders, Maximilian; Papenbrock, Thorsten in Informatik-Spektrum (2013). (12)
     
  • Analyzing and Predicting Viral Tweets. Jenders, Maximilian; Kasneci, Gjergji; Naumann, Felix (2013).