Name
Abstract | ||
|---|---|---|
As an advanced transportation mode of people's traveling, air transport meets many passengers' spiritual pursuits and decreases their time management costs. In long-range flights, passengers who have similar interests can set up social circles to make the journey more enjoyable. However, it is a challenge to predict passengers that may have good opinions towards each other and assign neighboring seats for them intelligently. Normally, the analysis that is targeting at passengers' personal information and social networking data may be one-sided to some extent. From the perspective of airliners, the work station gathers and analyzes the contents and operating habits of passengers on multimedia devices in cabins, sets up a model for passenger's individuality and hobbies, and discusses the possibility of assigning seats intelligently through such information. Preliminary research results show that the hypothesis has a solid foundation. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/SMARTCOMP.2017.7947046 | 2017 IEEE International Conference on Smart Computing (SMARTCOMP) |
Keywords | Field | DocType |
smart airplane seat assignment system,passengers multimedia preferences,air transport,airliners,work station,contents analysis,multimedia devices | Entertainment industry,Social network,Computer science,Airplane,Time management,Air transport,Personally identifiable information,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-5090-6518-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Qiu | 1 | 60 | 14.01 |
| Chih-Fu Wu | 2 | 6 | 4.13 |
| Aihua Wu | 3 | 0 | 0.34 |
| Ling Liu | 4 | 73 | 17.78 |