Docear’s Online Services Are Down (Recommendation; User Registration; Backup)

Currently, all of Docear’s online services are down.

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Various positions to work on research-paper recommender systems (Mr. DLib) and Docear (Bachelor/Master/PhD/Post-Doc)

Updated on 2017-08-14: Here at Docear and Mr. DLib we have many exciting projects in the field of recommender systems, user modelling, personalisation, and adaptive systems (primarily with a focus on digital libraries but we are also open for domains such as health care, transportation, and tourism). If you are interested in pursuing any of […]

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 […]

New paper for UMAP’15: Exploring the Potential of User Modeling based on Mind Maps

One reason why we originally started the development of Docear was our interest in how people are creating mind-maps and how the information contained in mind-maps could be used for building recommender systems and other user-modeling applications.

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How to proceed with the development of the Docear4LibreOffice add-on ?

More than half a year ago, we started a call for donation to pay a freelancer who wanted to develop an add-on for LibreOffice and OpenOffice, comparable to Docear4Word. Originally, we estimated that it would take about 2 months before the work was completed, or at least a decent demo version was ready to released. […]

Update of the Google Scholar PDF Metadata Retrieval Library

In the past few weeks, several users reported that Docear could not retrieve metadata more from Google Scholar any more. It took as a while, but now we found and fixed the problem – hopefully. We need your help to test if the fixed version really works well for all of you (it’s very hard […]

New Pre-print: The Architecture and Datasets of Docear’s Research Paper Recommender System

Our paper “The Architecture and Datasets of Docear’s Research Paper Recommender System” was accepted at the 3rd International Workshop on Mining Scientific Publications (WOSP 2014),

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Docear 1.1.1 Beta with Academic Search Feature

As you may know, Docear features a recommender system for academic literature. To find out which papers you might be interested in, it parses your mind maps and compares them to our digital library with currently about 1.8 million academic articles. While this is helpful and might point you to papers relevant for your general […]

Docear’s new workspace and workflow concept: We need your feedback!

In the past years, Docear evolved to a powerful software for managing literature and references. However, we have to admit that Docear is still not as user friendly as we would like it to be. This is mainly caused by the workspace concept which is not very intuitive.

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Research Paper Recommender Systems: A Literature Survey (Preprint)

As some of you might know, I am a PhD student and the focus of my research lies on research paper recommender systems. Now, I am about to finish an extensive literature review of more than 200 research articles on research paper recommender systems. My colleagues and I summarized the findings in this 43 […]

New Paper: Utilizing Mind-Maps for Information Retrieval and User Modelling

We recently submitted a paper to UMAP (The Conference on User Modelling, Adaptation, and Personalization).

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Wanted: Participants for a User Study about Docear’s Recommender System

We kindly ask you to participate in a brief study about Docear’s recommender system. Your participation will help us to improve the recommender system, and to secure long-term funding for the development of Docear in general! If you are willing to invest 15 minutes of your time, then please continue reading.

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Docear4Word 1.30: Faster and more robust BibTeX key handling

Docear4Word 1.30 is available for download. We improved the error handling, the speed, and the robustness for special characters in BibTeX keys. Here are all changes in detail

A database parsing error during Refresh now displays message with line and column information. More robustness for special characters in BibTeX keys: Changing to the official spec […]