We are aware of this problem and we would like to fix it. This is mainly caused by the workspace concept which is not very intuitive. However, we have to admit that Docear is still not as user friendly as we would like it to be. In the past years, Docear evolved to a powerful software for managing literature and references. If Docear does not have enough data to decide about your interests, this part remains empty. several buttons below the text box reflecting search terms you might be interested in.you need to enable the recommendation service in Docear.Īfter opening the search page, you will see Since both the recommender system and the personalized search engine make use of your mind maps. You can access the search feature from Docear’s ribbon bar (“Search and Filter > Documents > Online search”) or by double-clicking the “Online search” entry in Docear’s workspace panel. Her knowledge about the inner mechanics and her ideas on the the search engine were essential for the implementation and the research part of the project. Kapitsaki’s has already supported us in our work on Docear’s recommender system in July 2013. Georgia Kapitsaki at the University of Cyprus (UCY) in Nicosia for a full month to work on this idea. I am very grateful to Keystone, who supported me in visiting Dr. While this is helpful and might point you to papers relevant for your general research goals, you will sometimes have to find information on a specific topic and hence search directly.īased on our knowledge about recommender systems and some user requests, we decided to implement a direct search feature on our digital library. To find out which papers you might be interested in, the recommender system parses your mind maps and compares them to our digital library with currently about 1.8 million academic articles. If you are using LibreOffice, you will only have an entry in the menu.Īs you may know, Docear features a recommender system for academic literature. If you are using OpenOffice, you will have a Docear entry in the menu and in the tool bar (see screenshot below). After the installation, you should restart Libre/OpenOffice. This should open an installation dialog, and you need to confirm all messages in the dialog. To do so, download the add-on, store it on your hard drive, and open the downloaded file with LibreOffice or OpenOffice. The freelancer sent me a demo version that you can try out. However, I suggest you get an idea of the add-on yourself. Personally, I have some doubts that the final add-on will meet the quality expectations I have, and that probably most Docear users have. However, I have to point out that my satisfaction with the current progress and outcomes are not overwhelming. So, most likely he will finish the add-on some day – maybe in 2 months, maybe in 6 months, maybe in a year. The freelancer is still working on the add-on. The question arises, how to proceed? We see the following options: In addition, we are still missing a significant amount of donations to fully pay the developer ($1,000 are missing). Well, that estimate wasn’t quite precise – the developer hasn’t finished even an alpha version yet. 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. Our research shows that mind map-specific user modeling has a high potential, and we hope that our results initiate a discussion that encourages researchers to do research in this field and developers to integrate recommender systems to their mind mapping tools.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. A user study confirmed the high effectiveness of the mind map specific approach with an average rating of 3.23 (out of 5), compared to a rating of 2.53 for the best baseline. However, when adjusting user modeling to the unique characteristics of mind maps, a higher CTR of 7.20% could be achieved. The evaluation shows that standard user modeling approaches are reasonably effective when applied to mind maps, with click-through rates (CTR) between 1.16% and 3.92%. Docear displayed 430,893 research paper recommendations, based on 4,700 user mind maps, from March 2013 to August 2014. The approaches are applied and evaluated using our mind mapping and reference-management software Docear. Additionally, we develop novel user modeling approaches that consider the unique characteristics of mind maps. In this paper, we explored the effectiveness of standard user-modeling approaches applied to mind maps. Mind maps have not received much attention in the user modeling and recommender system community, although mind maps contain rich information that could be valuable for user-modeling and recommender systems.
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