Feelings' Rating and Detection of Similar Locations, Based on Volunteered Crowdsensing and Crowdsourcing
| Main Authors: | Ntalianis, Klimis S., Kener, Andreas, Otterbacher, Jahna |
|---|---|
| Format: | Article |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3333356 |
Daftar Isi:
- In this paper an innovative geographical locations’ rating scheme is presented, which is based on crowdsensing and crowdsourcing. People sense their surrounding space and submit evaluations through: (a) a smartphone application, and (b) a prototype website. Both have been implemented using state-of-art technologies. Evaluations are pairs of feeling/state and strength, where six different feelings/states and five strength levels are considered. Additionally, detection of similar locations is proposed, by maximizing a cross-correlation criterion through a genetic algorithm approach. Technical details of the overall system are provided, so that interested readers can replicate its components. Experimental results on real world data, which also include comparisons with Google Maps Rating and Tripadvisor, illustrate the merits and limitations of each technology. Finally the paper is concluded by uncovering and discussing interesting issues for future research.