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.
Teresa Scheidt joins us for a research internship on recommender-systems evaluation over time
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…