Mr. DLib: Recommender-System as-a-Service
We released version 1.3 of Mr. DLib´s Recommender-System as-a-Service. The new major feature is “word embeddings” based recommendations. We are excited to see how the new recommendations will perform with our partners. In addition, we fixed many small bugs, and added some minor improvements. A complete overview can be found in JIRA.
Please visit https://isg.beel.org/people/joeran-beel/ for more details about me.
We are excited to announce that our research assistant, Philipp Meister, recently presented our demo paper on OmniRec as a poster at ECIR 2026 in Delft. OmniRec is a new open-source Python library for unified Read more…
We welcome Teresa Scheidt, who joins our group for a research internship over the summer. Teresa is a Master student at Lund University, where she is currently in the first year of the Master program Read more…
Abstract We introduce Recommender-Systems.com (RS_c) as a central platform for the recommender-systems community. RS_c provides regular news on important events in the community as well as curated lists of recommender-system resources including datasets, algorithms, jobs, Read more…
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