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 […]
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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 […] 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. […] 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), […] 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 […] 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 […] We recently submitted a paper to UMAP (The Conference on User Modelling, Adaptation, and Personalization). […] 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. […] As you probably know, Docear is free and open source. As you might know as well, we do accept donations. Today, we would like to share some statistics with you about the amount of donations we received. Actually, in the past two years, we received 434 US$ (~340€) from from 33 donators. That’s not a […] This weekend, I had some spare time and I wondered which was the most popular reference manager (and how Docear is doing in comparison). So, I took a list of reference managers from Wikipedia, and checked some statistics on Alexa, Google Trends, and Google Keyword Planner. Since I had the data anyway, I thought I […] The 17th International Conference on Digital Libraries (TPDL2013) is almost over. There were many interesting presentations, great weather, and awesome food :-). I took some pictures, that you also find on Facebook, G+, or as a single file download on Dropbox. #gallery-1 { margin: auto; } #gallery-1 .gallery-item { float: left; margin-top: 10px; text-align: center; width: 25%; 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 […] 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 […] After three demo-papers were accepted for JCDL 2013, we just received notice that another three posters were accepted for presentation at TPDL 2013 on Malta in September 2013. I think the papers are quite interesting (well, that’s probably no surprise since I wrote them ;-)). They cover some quite novel aspects of recommender systems relating […] 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 […] To optimize Docear’s research paper recommender system I was looking for an extensive stop word list – a list of words that is ignored for the analysis of your mind maps and research papers (for instance ‘the’, ‘and’, ‘or’, …). It’s easy to find some lists for some languages but I couldn’t find one extensive […] As you may know, Docear offers literature recommendations and as you may know further, it’s part of my PhD to find out how to make these recommendations as good as possible. To accomplish this I need to know what a ‘good’ recommendation is. So far we have been using Click Through Rates (CTR) to evaluate […] |