Mr. DLib

Mr. DLib v1.2.1: Improved keyphrase recommendations and Apache Lucene query handling

The new version of our recommender system completes 104 issues and significantly improves the recommendations. The most notable improvements are: We improved the keyphrase extraction process in the recommender system, i.e. keyphrases are not stored differently in Lucene. We expect 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 is A/B tested (together with Lucene’s standard query parser) Improved queries for CORE recommender system (their system needs queries to be of a certain length; Mr. DLib now just multiplies the queries until they are at least 50 characters) Abstracts and keywords in the XML response of Mr. DLib are enclosed in <![CDATA[ HTML Snippet is improved Read more…

By Joeran Beel, ago
Recommendations as-a-Service (RaaS)

New recommendation algorithms integrated to Mr. DLib’s recommender system

We have integrated several new recommendation algorithms into Mr. DLib. Some recommendation algorithms are only ought as baselines for our researchers, others hopefully will further increase the effectiveness of Mr. DLib. Overall, Mr. DLib now uses the following recommendation algorithms in its recommender system: Random Recommendations The approach recommendation randomly picks the set of documents to recommend. We experiment with this approach by randomly choosing to apply a language filter 50% of the time. With the language filter, the recommended documents share the same language as the input document. Lucene’s More Like This This is one of the most commonly applied recommendation aproaches for content-based filtering. The approach concatenates and tokenizes a document’s title, abstract, keywords, and journal name using Apache Lucene’s Read more…

By Joeran Beel, ago
Help Wanted

Students & PostDocs: We have open positions in Tokyo, Copenhagen, and Konstanz (2-24 months)

Update 2016-01-12: The salary in Tokyo would be around 1.600 US$ per month, not 1.400. 2015 has been a rather quiet year for Docear, but 2016 will be different. We have lots of ideas for new projects, and even better –  we have funding to pay at least 1 Master or PhD student, to help us implementing the ideas. There is also a good chance that we get more funding, maybe also for Bachelor students and postdoctoral researchers. The positions will be located in Tokyo, Copenhagen or Konstanz (Germany). In the following, there is a list of potential projects. If you are interested, please apply, and if you have own ideas, do not hesitate to discuss them with us. What exactly you Read more…

By Joeran Beel, ago