Prof. Dr. Philipp Schaer
Fakultät für Informations- und Kommunikationswissenschaften Institut für Informationswissenschaft (IWS) Institut für Informationsmanagement (IIM)
No fixed office hours
Campus Südstadt, Claudiusstr. 1, Raum B5.420
Please make an appointment online: https://schaer.youcanbook.me
- Director of the Institute of Information Management (IIM)
- Information Retrieval
- Search Engines Technology
- Database Systems
Evaluation of IR systems
Projekte / Kooperationen
STELLA - Infrastructures For Living LabsProject page at ir.web.th-koeln.de
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.
ESUPOL - Einfluss von Suchmaschinen auf die politische MeinungsbildungProjekt page at ir.web.th-koeln.de
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.
Smart Harvesting IIProject page at ir.web.th-koeln.de
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.
PRIOR - PRepublicatIOn RadarProjekt page at ir.web.th-koeln.de
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.