Scheduled Downtime of the API
On May 31, we will move Mr. DLib’s API to a new server. The API might be unavailable for a few days.
V2 of Mr. DLib’s Recommender System As-a-Service is now available
The first beta version of Mr. DLib V2 has been released and is performing very well so far. With our partner JabRef, we have delivered over 70 thousand sets of recommendations.
We Hire (2 Positions): Software Engineer, Software Architect and/or Product Owner / Manager
The Mr. DLib team, as part of the ADAPT Centre and Trinity College Dublin, has received funding to hire 2 employees for 2 years to spin-out a business start-up in the field of recommendations-as-a-service and machine learning. The two positions are to be filled with one software architect / product manager and one software engineer, […]
Mr. DLib v1.3: “Word Embeddings” and Many Minor Improvements and Bug Fixes
We released version 1.3 of Mr. DLib. 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.
Mr. DLib v1.2.1 released: Improved keyphrase extraction and Apache Lucene query handling
The new version of Mr. DLib completes 104 issues. The most notable ones are: We improved the keyphrase extraction, i.e. keyphrases are no stored differently in Lucene. We expect a better recommendation effectiveness and are currently running an A/B test. More robust path encoding for search queries (special characters in a URL caused errors) Lucene’s eDismax function […]
RARD: The Related-Article Recommendation Dataset
We are proud to announce the release of ‘RARD’, the related-article recommendation dataset from the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib. The dataset contains information about 57.4 million recommendations that were displayed to the users of Sowiport. Information includes details on which recommendation approaches were used (e.g. content-based filtering, stereotype, most popular), what […]
Mr. DLib 1.2 released: JabRef integration completed; CORE Recommendation API connected
There are two major news coming along with the new version of Mr. DLib’s Recommendation API. JabRef finally uses Mr. DLib for it’s recommender system We have announced this already a while ago, but now, finally, Mr. DLib’s recommendations are available in one of the most popular open-source reference managers, i.e. JabRef. Currently, Mr. DLib […]
Several new publications: Mr. DLib, Lessons Learned, Choice Overload, Bibliometrics (Mendeley Readership Statistics), Apache Lucene, CC-IDF, TF-IDuF
In the past few weeks, we published (or received acceptance notices for) a number of papers related to Mr. DLib, research-paper recommender systems, and recommendations-as-a-service. Here is the list: Beel, Joeran, Bela Gipp, and Akiko Aizawa. “Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia.” In Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017. Beel, Joeran. “Real-World […]
Mr. DLib v1.1.1 released: minor improvements
On 28th February, we released version 1.1.1 with some minor improvements and bug fixes: Improved 404 error handling for unkown document IDs Fix: The order of authors in the XML was not sorted properly Several internal changes (adjusted logging table; click time is not updates any more for second click etc; automatic tool to add stereotype […]
Farewell party for our visiting student Stefan Feyer
Stefan Feyer from the University of Konstanz had joined the Mr. DLib team for a six months internship. Yesterday, it was time to say good bye to Stefan and we had a small farewell party at the National Institute of Informatics (NII) in Tokyo. We wish Stefan all the best for his future career and are […]