The recommender system builds user models based on the users' mind maps, and recommends research papers based on the user models.
#DOCEAR CONDITIONAL FORMATTING SOFTWARE#
To achieve this objective, we integrate a research-paper recommender system in our mind-mapping and reference-management software Docear. The objective of this doctoral thesis is to develop an effective user-modeling approach based on mind maps. Hence, millions of mind-mapping users could benefit from user-modeling applications such as recommender systems.
We consider this a serious shortcoming since we assume user modeling based on mind maps to be equally effective as user modeling based on other items. However, while user-modeling and recommender systems successfully utilize items like emails, news, social tags, and movies, they widely neglect mind-maps as a source for user modeling.
Alesia ZuccalaĪbstract User modeling and recommender systems are often seen as key success factors for companies such as Google, Amazon, and Netflix. Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Mapsĭissertation zur Erlangung des akademischen Grades Doktoringenieur (Dr.-Ing.)Īngenommen durch die Fakultät für Informatik der Otto-von-Guericke-Universität Magdeburg von Diplom Wirtschaftsinformatiker Jöran Beel, MSc geboren am in Herdecke GutachterInnen: Prof.
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