Name
Title | ||
|---|---|---|
Toward the Design of a Recommender System: Visual Clustering and Detecting Community Structure in a Web Usage Network |
Abstract | ||
|---|---|---|
The identification of community structure is one of the fundamental questions in the analysis of large scale complex networks. In this work, we propose a novel approach to extracting communities within a large network of cyber learners and learning resources. The technique used is a heuristic which initially performs clustering using force-based visualization algorithms and then relies on network modularity to select good decompositions from those found visually. Through testing, we have determined appropriate parameters for optimal performance. Finally, we use the community detection method to design a visual recommender system to recommend learning resources to cyber learners within the same community. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/WI-IAT.2012.270 | WI-IAT), 2012 IEEE/WIC/ACM International Conferences |
Keywords | Field | DocType |
Internet,complex networks,computer aided instruction,computer science education,data visualisation,pattern clustering,recommender systems,resource allocation,Web usage network,communities extraction,community structure detection,cyberlearners network,force-based visualization algorithms,large scale complex networks,learning resource recommendation,learning resources,network modularity,optimal performance,recommender system design,visual clustering,visual recommender system | Recommender system,Data mining,Heuristic,Community structure,Visualization,Computer science,Complex network,Artificial intelligence,Affective computing,Cluster analysis,Machine learning,Modularity | Conference |
Volume | ISBN | Citations |
1 | 978-1-4673-6057-9 | 6 |
PageRank | References | Authors |
0.45 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leyla Zhuhadar | 1 | 146 | 17.53 |
| Rong Yang | 2 | 35 | 3.07 |
| Olfa Nasraoui | 3 | 1515 | 164.53 |