The IKR3 Lab

The Information and Knowledge Representation, Retrieval and Reasoning Laboratory (IKR3 Lab), previously Information Retrieval Laboratory (IR Lab), was established in 2005 at the Department of Informatics, Systems, and Communication (DISCo), University of Milano-Bicocca. The Head of the Lab is Prof. Gabriella Pasi.

The research activity undertaken by the IKR3 Lab is aimed at defining models and techniques that improve the limitations of current systems for the Information Access. In particular, Information Retrieval and Information Filtering task are considered. The research activity undertaken by the IKR3 Lab also addresses the issues of Text Mining and Social Media Analytics.

Gabriella Pasi

Gabriella Pasi is Full Professor at the University of Milano-Bicocca, Department of Informatics, Systems, and Communication (DISCo), where she holds the role of Head of Department. She is also Pro-rector for International Relations at the University of Milano-Bicocca.

Among the topics of current research:

  • Definition of systems for contextual information access
  • Context modeling and user profiling
  • Social media analytics
  • Analysis of information diffusion on social networks


The IKR3 Lab has been hosting several postdoc researchers, visiting Ph.D. students and visiting professors.

Current members of the lab:

  • Head of the IKR3 Lab, Full Professor: Gabriella Pasi
  • Full Professor: Gabriele Gianini
  • Associate Professors: Rafael Peñaloza, Marco Viviani
  • Assistant Professor: Alessandro Raganato
  • PhD Students, Research Fellows, and Collaborators


The research activity in the IKR3 Lab produces numerous publications of international relevance. Recently published:


The members of the IKR3 Lab deliver different university courses connected to their areas of expertise.

Course materials and information can be found in more detail on the dedicated page.

Bachelor’s and Master’s Thesis

The IKR3 Lab offers Bachelor’s and Master’s Thesis on related research topics:

  • Context and personalized search
  • Language models for IR
  • User modeling
  • Social Media Analytics
  • Recommender systems

More information and contacts can be found in the dedicated page.