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 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…
For beginners in recommender systems, it is difficult to get an overview of the state-of-the-art, the most relevant venues, and helpful tools and datasets. Similarly, experts in recommender-systems may find it difficult to keep up Read more…
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