Yonata Andrelo Asikin

BMW Group


Name: Yonata Andrelo Asikin
E-Mail: asikin[at]in.tum.de
Phone (Office): +49-89-382-93390  
Room: MI 01.05.055  
Address (Office): TUM Institut für Informatik
Lehrstuhl Prof. Dr. Schlichter
Boltzmanstr. 3
85748 Garching



Office Hours: By appointment.

Research Interests:

  • Context-sensitive Personalization and Recommender Systems
  • Spatial model for recommending items
  • Metrics of Recommender Systems beyond Accuracy (Serendipity)
  • Social and context-sensitive Systems
  • Automotive Applications


 Stories around You: Location-based Serendipitous Recommendation of News Articles

 Autoren: Yonata Andrelo Asikin, Wolfgang W├Ârndl
 Beschreibung: Proc. Workshop on News Recommendation and Analytics (NRA 2014), 22nd Conference on User Modelling, Adaptation and Personalization (UMAP 2014), Aalborg, Denmark, Jul. 2014

 Employing Team Composition Strategies for Recommending Teams

 Autoren: Michele Brocco, Yonata Andrelo Asikin
 Beschreibung: 1st International Workshop on Mining Communities and People Recommenders, ICDM 2011 IEEE Conference on Data Mining, Vancouver, BC, Canada, December 2011

 Contribution Awareness and Fame in Open Innovation Networks

 Autoren: Georg Groh, Michele Brocco and Yonata A. Asikin
 Beschreibung: In: Schriften zu Kooperations- und Mediensystemen (Band 30) - Competence Management for Open Innovation, Eul Verlag, ISBN: 978-3-8441-0002-0, December 2010, pp. 115-138

 Case-Based Team Recommendation

 Autoren: Yonata A. Asikin, Michele Brocco, Wolfgang Woerndl
 Beschreibung: Proc. of the 2nd International Conference on Social Informatics (SocInfo2010), Laxenburg, Austria, October 2010


Running Thesis:


Supervised Thesis:

  • Alexander Derek-Rein - Towards intelligent rule engines in cross-platform automotive applications (MA)
  • Manuel de Souza - Inference and Association of Location-related Information for Recommendation Systems (MA)
  • Michael Haus - Synthesis of News and Music for Audio Entertainment in the Car (MA)
  • Ajay Rammohan - Serendipitous Music Recommendation using Anomaly Detection (MA)
  • Hafsa Asif - Stories from Friends: Finding Serendipitous Contents in Social Spaces (MA)
  • Wessam Abdrabo - SerenCast: Towards Understanding the Occurrence of Serendipity During the Consumption of Digital Content (GR)