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Information Access and Artificial Intelligence (IAI)

Novel information retrieval and web mining solutions for next generation search engines and intelligent systems, using cutting edge machine learning and AI.

Publisert: Endret:
IAI
Faculty researchers

3

PhDs

3

Our mission is to build novel information retrieval and web mining solutions for next generation search engines and intelligent systems, using cutting edge machine learning and AI. Our research combines data-driven approaches with human-centered design.

About us

Our current projects can be broadly classified into the following areas:

  • Semantic search and intelligent assistance (entities and knowledge graphs, semistructured data retrieval, tables, task-based search, and conversational search and recommendation)
  • Evaluation methodology (living labs and simulation)
  • Neural IR (representation learning, learning from sparsely labeled data)
  • Web mining (text and graph mining with applications to social media and news media, scalability, fake news detection, and fact checking)
  • Explainability and transparency

We mostly deal with big (text, semi-structured, and graph) data. However, it is not just the scale of data that intrigues us. Users interact with systems and we can observe those interactions. Thus, we are also interested in the interaction with AI-understanding how people and machine engage in conversations. 

We are at the forefront of the international research scene and publish regularly at top conferences, such as SIGIR, WWW, WSDM, CIKM, and ECIR. We hosted the 10th International Conference on the Theory of Information Retrieval (ICTIR) in 2020 and will be hosting the 44th European Conference on Information Retrieval (ECIR) in 2022.

IAI is part of the UiS artificial intelligence initiative, Stavanger AI Lab.

Researchers

51831788
Faculty of Science and Technology



Department of Electrical Engineering and Computer Science
Professor
51832760
Kjøv Egelands Hus
Faculty of Science and Technology



Department of Electrical Engineering and Computer Science
Førsteamanuensis
Faculty of Science and Technology



Department of Electrical Engineering and Computer Science
Stipendiat
Faculty of Science and Technology



Department of Electrical Engineering and Computer Science
Førsteamanuensis II
Faculty of Science and Technology



Department of Electrical Engineering and Computer Science
Stipendiat
  • Avishek Anand, at L3S Research Center, Germany
  • Kjetil Nørvåg, Professor at NTNU, Norway
  • Heri Ramampiaro, Professor at NTNU, Norway
  • Faegheh Hasibi, Assistant Professor at Radboud University, The Netherlands
  • Shuo Zhang, Research scientist at Bloomberg, UK

  • Christin Kreutz (PhD student, University of Trier, Germany), Jan-Apr 2021
  • Boyang Zhang (Postdoc, University of Tampere, Finland), March 2019
  • Jan Trienes (MSc student, University of Twente, The Netherlands), July-Oct 2018
  • Heng Ding (PhD student, Wuhan University, China), Dec 2016-Jan 2018