scholarly journals Constructing a Data Visualization Recommender System

2019 ◽  
pp. 1-25
Author(s):  
Petra Kubernátová ◽  
Magda Friedjungová ◽  
Max van Duijn
Keyword(s):  
Data Visualization ◽  
Recommender System

Recommendation and visualization of similar movies using minimum spanning dendrograms

2012 ◽  
Vol 12 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Michail Vlachos ◽  
Daniel Svonava
Keyword(s):  
Data Mining ◽  
Bipartite Graph ◽  
Data Visualization ◽  
Recommender System ◽  
Recommendation System ◽  
Two Dimensions ◽  
Distance Functions ◽  
Semantic Features ◽  
Novel Technique ◽  
Metric Distance

Exploration of graph structures is an important topic in data mining and data visualization. This work presents a novel technique for visualizing neighbourhood and cluster relationships in graphs; we also show how this methodology can be used within the setting of a recommendation system. Our technique works by projecting the original object distances onto two dimensions while carefully retaining the ‘backbone’ of important distances. Cluster information is also overlayed on the same projected space. A significant advantage of our approach is that it can accommodate both metric and non-metric distance functions. Our methodology is applied to a visual recommender system for movies to allow easy exploration of the actor–movie bipartite graph. The work offers intuitive movie recommendations based on a selected pivot movie and allows the interactive discovery of related movies based on both textual and semantic features.

scholarly journals Towards a Knowledge-Based Recommendation System for Genomics Visualization

2020 ◽  
Author(s):  
Aditeya Pandey ◽  
Sehi L’Yi ◽  
Nils Gehlenborg
Keyword(s):  
Data Visualization ◽  
Biomedical Research ◽  
Recommender System ◽  
Recommendation System ◽  
Formal Training ◽  
Preliminary Design ◽  
Knowledge Based ◽  
Visualization Tools ◽  
Tools And Techniques ◽  
Selection Of

Analysis and interpretation of genomics data are the backbones of breakthroughs and discoveries in biomedical research. Visualization tools and techniques play a significant role in the workflow of genomics researchers, and they are regularly employed in the interpretation of genomics data. However, the vast majority of genomics researchers have little or no formal training in data visualization design. Therefore, they require guidance on designing effective visualizations for a given set of data and analysis tasks. In this poster, we present the methodology behind a recommender system for genomics data and our preliminary design of a knowledge-based recommendation system. The system allows genomics researchers to navigate through a selection of visualization options and identify the techniques that meet their preferences and requirements.

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