Location based services: ongoing evolution and research agenda
TLDR
This article presents a series of key research challenges that are essential to advance the development of LBS, setting a research agenda for LBS to ‘positively’ shape the future of the authors' mobile information society.Abstract:
We are now living in a mobile information era, which is fundamentally changing science and society. Location Based Services (LBS), which deliver information depending on the location of the (mobile...read more
Citations
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An attention‐based category‐aware GRU model for the next POI recommendation
Yuwen Liu,Aixiang Pei,Fan Wang,Yihong Yang,Xuyun Zhang,Hao Wang,Hong-Ning Dai,Lianyong Qi,Rui Ma +8 more
TL;DR: A category‐aware gated recurrent unit (GRU) model to mitigate the negative impact of sparse check‐in data, capture long‐range dependence between user check‐ins and get better recommendation results of POI category, which is evaluated using a real‐world data set, named Foursquare.
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Deep learning methods for fingerprint-based indoor positioning: a review
TL;DR: A comprehensive review of deep learning methods in indoor positioning by analyzing the advantages and disadvantages of various fingerprint types for indoor positioning, as well as reviewing publicly available indoor positioning datasets.
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The Sound of Being There: Audiovisual Cartography with Immersive Virtual Environments
Florian Hruby,Florian Hruby +1 more
TL;DR: The positive effect of a combined audio-visual vs. exclusively visual presentation is supported by a series of user studies of sound effects, making audiovisual cartography with IVE a rich and worthwhile field of research.
Journal ArticleDOI
A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt
Francesca Cellina,Dominik Bucher,Francesca Mangili,José Veiga Simão,Roman Rudel,Martin Raubal +5 more
TL;DR: Despite a large drop-out rate experienced throughout the experiment, GoEco! was observed to produce a statistically significant impact for systematic routes in highly car-dependent urban areas, such as the Canton Ticino.
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FieldLight: Device-Free Indoor Human Localization Using Passive Visible Light Positioning and Artificial Potential Fields
TL;DR: Through experimental results, the proposed VLP technique is benchmarked against an existing wireless RSSI-based device-free localization approach, and was able to attain a median error 0.63m lower than the wireless technique.
References
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