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VisualRS: Java framework for visualization of recommender systems information
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DOI：10.1016/j.knosys.2018.04.028.png)
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摘要
En 中文
VisualRS is an object oriented Java framework that allows: 1) To relate items or users from recommender systems, 2) To provide tree graph structures containing the most relevant relationships between items or between users, 3) To create visualizations, using Gephi, of the resulting tree graphs, 4) To select the tree graph structures that allow a more balanced visualization and an easier navigation, 5) To choose between an assortment of collaborative filtering similarity measures, 6) To measure the quality of the results making use of centrality measures in graphs, and 7) To easily embed new similarity metrics and quality measures. VisualRS can be used: 1) As recommender systems analysis tool, 2) To provide users and technical managers with a visualization tool of items and users, and 3) To facilitate research both into the collaborative filtering graphic representation and into the information navigation fields. It provides a broad basis for personalization and experimentation.
Keyword:
Related information
Tree graphs
Similarity measures
Collaborative filtering
Recommender systems
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An Efficient Algorithm for Nonlinear Model Predictive Control of Large-Scale Systems Part I: Description of the Method (Ein effizienter Algorithmus für die nichtlineare prädiktive Regelung großer Systeme Teil I: Methodenbeschreibung)大型系统非线性模型预测控制的有效算法第一部分: 方法的描述 (Ein effizienter algorithms f ü r die nichtlineare pr ä diktive Regelung gro ß er Systeme Teil I: Methodenbeschreibung).png)
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