Shopprofiler: Profiling shops with crowdsourcing data

X Guo, ECL Chan, C Liu, K Wu, S Liu… - IEEE INFOCOM 2014 …, 2014 - ieeexplore.ieee.org
… In this paper, we present ShopProfiler, a shop profiling system on crowdsourcing data. …
shops through WiFi heat map. Third, we categorize shops by designing an SVM classifier in shop

[PDF][PDF] ShopProfiler: Profiling Shops with Crowdsourcing Data.(2014)

X GUO, ECL CHAN, C LIU, K WU, S LIU, L NI - INFOCOM, 2014 Proceedings … - core.ac.uk
… In this paper, we present ShopProfiler, a shop profiling system on crowdsourcing data. …
shops through WiFi heat map. Third, we categorize shops by designing an SVM classifier in shop

[PDF][PDF] ShopProfiler: Profiling Shops with Crowdsourcing Data.(2014). INFOCOM

X GUO, ECL CHAN, C LIU, K WU, S LIU, L NI - 2014 - ink.library.smu.edu.sg
… In this paper, we present ShopProfiler, a shop profiling system on crowdsourcing data. …
shops through WiFi heat map. Third, we categorize shops by designing an SVM classifier in shop

Crowdsourcing-based indoor mapping using smartphones: A survey

B Zhou, W Ma, Q Li, N El-Sheimy, Q Mao, Y Li… - ISPRS Journal of …, 2021 - Elsevier
data and movement patterns, ShopProfiler utilized (Support Vector Machine, SVM) to
categorize shops and labeled the shop … Tracing profiling was used to generate traces based on …

Indoor floor plan construction through sensing data collected from smartphones

Z Peng, S Gao, B Xiao, G Wei, S Guo… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
… systems utilize crowdsourcing to collect data, … For Shopprofiler, we also recruited ten
volunteers to collect total 100 user traces (including acceleration data, gyroscope data, acoustic data

[PDF][PDF] Digitizing offline shopping behavior towards mobile marketing

A Ghose, B Li, S Liu - 2015 - core.ac.uk
… mall, we had to resort to crowdsourcing techniques. We applied a similar approach as in (…
, we deployed ShopProfiler, a shop-profiling system on crowdsourcing data. ShopProfiler only …

[HTML][HTML] A survey of crowdsourcing-based indoor map learning methods using smartphones

W Li, X Xu, Y Wang, D Li - Results in Control and Optimization, 2023 - Elsevier
… For the above difficulty, crowdsourcing-based indoor map construction has gained … sensor
data. Therefore, indoor maps can be learned by processing the crowdsourced sensing data

From crowdsourcing to crowdmining: Using implicit human intelligence for better understanding of crowdsourced data

B Guo, H Chen, Y Liu, C Chen, Q Han, Z Yu - World Wide Web, 2020 - Springer
crowdsourced data are generated on the Web or collected from real-world sensing. The
fragment, heterogeneous, and noisy nature of online/offline crowdsourced data, … process of data

CrowdOLR: Toward object location recognition with crowdsourced fingerprints using smartphones

D Zhao, H Wang, H Ma, H Xu, L Liu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
ShopProfiler [13] collects sensing data from a variety of sources (accelerometer, compass,
microphone, and WiFi), and combines the SSID information to profile shops. However, these …

TrackPuzzle: Efficient registration of unlabeled PDR trajectories for learning indoor route graph

W Li, Y Wang, Y Shao, G Hu, D Li - Future Generation Computer Systems, 2023 - Elsevier
… routes by crowd-sourcing inertial sensor data from mobile phones. The inertial sensor data
collected … ShopProfiler [40] differentiates a shop and corridor based on the unique features of …