Dagstuhl Seminar 24211: Evaluation Perspectives of Recommender Systems — Driving Research and Education
Recommender-Systems Evaluation is and maybe always has been a challenge. The Dagstuhl Seminar 24211 attempted to improve the current state of recommender-systems evaluation, and as...
Austria is the country with the highest number of top (female) RecSys researchers
We updated our world map of the top recommender-systems researchers, i.e. researchers on the RecSys Steering Committee, or RecSys researchers otherwise strongly involved in the...
CfP: Special Issue on Responsible Recommender Systems (ACM TIST)
We publish the following Call for Papers for the Special Issue on Responsible Recommender Systems with accepted submissions to be published in the ACM Transactions...
Volume 1, Issue 1 of ACM TORS published
Congratulations are in place: A few days ago, volume 1, issue 1 of the ACM Transactions on Recommender Systems was published. The issue consists of...
Dietmar Jannach is featured by “People of ACM”
People of ACM is a newsletter that “highlights the unique scientific accomplishments and compelling personal attributes of ACM members who are making a difference in...
Website Launch & Open for Submissions: ACM Transactions on Recommender Systems (ACM TORS)
The website of the journal ‘ACM Transactions on Recommender Systems‘ (ACM TORS) officially launched today. This includes the submission system on Manuscript Central. It was...
The “ACM Transactions on Recommender Systems” (ACM TORS) is revealed during the ACM RecSys Conference 2021
A new milestone in the history of recommender systems is being announced: At this very minute, Dietmar Jannach reveals at the ACM RecSys Conference 2021...
‘Papers with Code’ / NeurIPS Guidelines for Publishing Research Code: A Role Model For Recommender-Systems?
The recommender-system community is facing a reproducibility crisis. This has recently been demonstrated by the authors of the paper Are we really making much progress?...
A Survey on Conversational Recommender Systems [Jannach et al.]
Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction...
Impact@RecSys2020: The 2nd Workshop on the Impact of Recommender Systems
The research literature that considers such more direct measurements of impact of recommender systems on the various stakeholders is comparably scarce and scattered. With the...