Prof. Dr. Philipp Schaer

Prof. Dr. Philipp Schaer

Campus Südstadt
Claudiusstraße 1
50678 Köln

  • Telefon+49 221-8275-3845


No fixed office hours

Campus Südstadt, Claudiusstr. 1, Raum B5.420
Please make an appointment online:


  • InstitutsdirektorIn
  • Director of the Institute of Information Management (IIM)


  • Information Retrieval
  • Search Engines Technology
  • Database Systems


  • Digital Libraries
  • Evaluation of IR systems
  • Living Labs
  • STELLA - Infrastructures For Living Labs
    The STELLA project (funded by DFG) aims to create an evaluation infrastructure that allows to evaluate search and recommendation services within productive web-based search systems with real users. STELLA provides an integrated e-Research environment that allows researchers in the field of information retrieval and recommendation services to conduct studies with real users in real environments. The experimental set-ups differ considerably from classical TREC studies, which can only be carried out offline, or also from user studies, which only allow laboratory experiments, and thus enable researchers to use an evaluation method that was previously reserved only for industrial research or the operators of large online platforms.
    Project page at
  • ESUPOL - Einfluss von Suchmaschinen auf die politische Meinungsbildung
    In this MKW-funded project, the question of how search engines can influence political opinion-forming and political issues is to be addressed, and what influence factors such as 'filter bubbles', collaborative filtering and the lack of users' search or media competence have on these processes.
    Projekt page at
  • Smart Harvesting II
    Within the DFG-funded Smart Harvesting project we would like to develop a 'smart' set of tools and workflows to allow non-programmers to build a rich set of web scrapers to build online bibliographies out of freely available web resources.
    Project page at
  • PRIOR - PRepublicatIOn Radar
    PRIOR, the PRepublicatIOn Radar (funded by Google's Digital News Initiative) will be an integrated tool for science journalists to keep up with the latest scientific research in important domains of knowledge. It will enable them to detect and filter potentially interesting studies in a diverse set of scientific journals. The challenge is to deal with unstructured and heterogeneous incoming information types. PRIOR will extract, harmonize and process new embargoed research publications to allow searching, browsing and filtering. The prototype will work with two modules: a data extraction and harmonization framework as well as a web-based user interface to find new and filter relevant scientific publications.
    Projekt page at
  • Full professor membership at the Graduate Institute (GI) NRW
    Graduate Institute NRW
  • ACM - Association for Computing Machinery
    Professionell membership and member of SIGIR
  • GI - Gesellschaft für Informatik
    Chair of Fachgruppe Information Retrieval
    FG Information Retrieval
  • Wikimedia Deutschland