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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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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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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Do a paid internship at Docear in Germany, summer 2014 (US, UK, and CA Bachelor students only)

Like the previous years, we offer the opportunity for Bachelor students from the US, UK or Canada to do a paid internship at Docear in summer 2014 (if you are from Germany, please read here). The internship should last for 8-12 weeks with the earliest start date being May and the latest being August. You […]

New paper: “A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation”

Yesterday, we published a pre-print on the shortcomings of current research paper recommender system evaluations. One of the findings was that results of offline and online experiments sometimes contradict each other. We did a more detailed analysis on this issue and wrote a new paper about it. More specifically, we conducted a comprehensive evaluation of […]

New pre-print: “Research Paper Recommender System Evaluation: A Quantitative Literature Survey”

As you might now, Docear has a recommender system for research papers, and we are putting a lot of effort in the improvement of the system. Actually, the development of the recommender system is part of my PhD research. When I began my work on the recommender system, some years ago, I became quite frustrated […]

Docear at JCDL 2013 in Indianapolis (USA), three demo papers, proof-reading wanted

Three of our submissions to the ACM/IEEE Joint Conference on Digital Libraries (JCDL) were accepted, namely

Docear4Word: Reference Management for Microsoft Word based on BibTeX and the Citation Style Language (CSL)

In this demo-paper we introduce Docear4Word. Docear4Word enables researchers to insert and format their references and bibliographies in Microsoft Word, based on BibTeX and […]