Name
Abstract | ||
|---|---|---|
We have developed a method called skill2vec, which applies big data techniques to automatically analyze the learning data to discover skill relationship, leading to a more objective and data-informed decision making. Skill2vec is a neural network architecture which can transform a skill to a new vector space called embedding. The embedding can facilitate the comparison and visualization of different skills and their relationship. We conducted a pilot experiment using benchmark dataset to demonstrate the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3027385.3029485 | LAK |
Keywords | Field | DocType |
Deep learning,skill relationship,data analytics,embedding | Vector space,Embedding,Data analysis,Computer science,Visualization,Neural network architecture,Artificial intelligence,Deep learning,Big data,Machine learning,Pilot experiment | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tak-Lam Wong | 1 | 3 | 1.41 |
| Haoran Xie | 2 | 450 | 71.21 |
| Fu Lee Wang | 3 | 926 | 118.55 |
| Chung Keung Poon | 4 | 464 | 122.97 |
| Di Zou | 5 | 38 | 12.11 |