Computer Science Department

Lehrstuhl für Dienstleistungsinformatik / e-Services Research Group

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Chair endowed by

  • Westfälisch-Lippischer Sparkassen- und Giroverband
  • Sparkasse Dortmund
  • Gesellschaft der Freunde der TU Dortmund e.V.

Lehrstuhl 13 - Dienstleistungsinformatik, Prof. Dietmar Jannach

The research focus of the e-services Research Group lies the areas of recommender systems and, more generally, the application of intelligent systems technology and artificial intelligence to practical problems.

In the area of teaching, the group is responsible for a business- and application-oriented specialization area in the Computer Science curriculum at TU Dortmund (Dienstleistungsinformatik). Courses include Web technologies, Business Information Systems and SAP ERP and SAP Netweaver, as well as IT Management, IT Service Management and the Information Technology Infrastructure Library (ITIL).

The chair position is currently vacant. The group was headed by Prof. Dr. Dietmar Jannach until September 2017.


Quick-links teaching LS13

Sommersemester 2017

Quick-links research

Old News

11.09.2017: Survey paper on explanations for decision support systems and recommender systems accepted for publication in UMUAI journal

16.08.2017: Paper on session-based recommendation accepted for publication in UMUAI journal

18.07.2017: Papers accepted for the RecSys Challenge 2017 Workshop, the RecSys 2017 Workshop on Value-Aware and Multi-Stakeholder Recommendation and the RecSys 2017 Workshop on Temporal Reasoning in Recommender Systems

17.06.2017: Paper on automated spreadsheet-testing accepted at VL/HCC 2017

13.06.2017: Paper on session-based recommendation accepted at RecSys 2017

02.04.2017: Paper on music recommendation accepted at UMAP 2017

24.03.2017: Paper on optimization of recommendation lists accepted for publication in Expert Systems With Applications

04.02.2017: Paper on user interation with recommender systems accepted for publication in ACM TiiS

24.01.2017: Paper on search result personalization accepted for FLAIRS 2017

21.11.2016: Three papers accepted for the Recommender Systems Track of ACM SAC 2017

21.11.2016: Our group will give a tutorial on interactive recommender systems at ACM IUI 2017

17.11.2016: Our new book on Music Data Analysis is out.