ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2022 has a RecSys Track

The ACM/IEEE Joint Conference on Digital Libraries has announced its call for papers 2022. The so-far A*-ranked conference has a dedicated ‘Search & Recommendation’ track as one of four tracks. JCDL 2022 will be organized by the general chairs Akiko Aizawa, Thomas Mandl, and Zeljko Carevic and the program chairs Annika Hinze, Philipp Mayr, and Philipp Schaer. The conference will also have a doctoral consortium, of which I am going to be a co-chair.

The conference will take place between 20-24 June 2022 in Cologne, Germany, just an hour drive from my home town Siegen.

Here is part of the call for papers:

Call For Papers

The annual Joint Conference on Digital Libraries (JCDL) is the primary international event for the inter- and multi-disciplinary community of academics and practitioners in digital libraries coming from computer, information and social sciences, and other related disciplines. JCDL encompasses the many meanings of the term digital libraries, including notions of managing, operating, developing, curating, evaluating, or utilizing collections of data/information/knowledge in various domains.

JCDL 2022 – Bridging Worlds

In this global pandemic that put many of us into lockdown, quarantine, and separation for a long time, we will do our best to bring together communities and people again. As digital libraries are traditionally strong in connecting the digital and the physical world, we will pick up this heritage and establish a hybrid format that is as open as possible to everyone.


Topics of interest, as they relate to digital libraries, include, but are not limited to:

Users and Interactions

  • Collaborative and participatory information environments
  • Crowdsourcing and human computation
  • Human-information Interaction
  • Information visualization
  • Social networks, virtual organizations and networked information
  • Social media, community building, and applications
  • User behavior and modeling

Search and Recommendation

  • AI / Machine Learning/ Data mining for DLs
  • Dataset retrieval
  • Information and knowledge systems
  • Information retrieval
  • Knowledge discovery
  • Natural language processing
  • Navigational and exploratory search
  • Personalization and contextualization

Digital Libraries in Practice

  • Digital archiving and preservation
  • Digital humanities and heritage
  • Knowledge organization systems in practice
  • Personal digital information management
  • Performance evaluation
  • Policy and law
  • Privacy and Intellectual property
  • Scientific data management

Content and Structures

  • Data curation and stewardship
  • Document genres
  • Extracting semantics, entities, and patterns from large collections
  • Infrastructure and service design
  • Linked data and its applications
  • Research data management
  • Web and network science

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