Indoor location data for tracking human behaviours: A sco** review

LC Shum, R Faieghi, T Borsook, T Faruk, S Kassam… - Sensors, 2022 - mdpi.com
Real-time location systems (RTLS) record locations of individuals over time and are
valuable sources of spatiotemporal data that can be used to understand patterns of human …

Understanding customer behavior using indoor location analysis and visualization

A Yaeli, P Bak, G Feigenblat, S Nadler… - IBM Journal of …, 2014 - ieeexplore.ieee.org
Understanding customer behavior in brick-and-mortar stores and other physical indoor
venues is essential for any business aiming to provide a more personal and compelling …

An intelligent movie recommendation system through group-level sentiment analysis in microblogs

H Li, J Cui, B Shen, J Ma - Neurocomputing, 2016 - Elsevier
The emergence of the online media sharing sites (eg Youtube, Youku, and Hulu) have
introduced new challenges in program recommendation in online networks. However, there …

Duration of price promotion and product profit: An in-depth study based on point-of-sale data

Z Li, K Yada, Y Zennyo - Journal of Retailing and Consumer Services, 2021 - Elsevier
Anecdotal evidence has shown that retail price promotions can help small and medium-
sized retailers enhance their sales, and thus profits. However, most marketing managers …

Visualising business data: A survey

RC Roberts, RS Laramee - Information, 2018 - mdpi.com
A rapidly increasing number of businesses rely on visualisation solutions for their data
management challenges. This demand stems from an industry-wide shift towards data …

Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks

L Zhao, Y Zuo, K Yada - Advances in Data Analysis and Classification, 2023 - Springer
During the last decade, an increasing number of supermarkets have begun to use RFID
technology to track consumers' in-store movements to collect data on their shop** …

Ucbvis: understanding customer behavior sequences with visual interactive system

MR Islam, I Razzak, X Wang… - 2021 International Joint …, 2021 - ieeexplore.ieee.org
Understanding customer behaviour (UCB) sequences with the multi-dimensional and
temporal of the data is necessary for any competitive and global business aiming to provide …

The influence of customer movement between sales areas on sales amount: a dynamic bayesian model of the in-store customer movement and sales relationship

Y Kaneko, S Miyazaki, K Yada - Procedia computer science, 2017 - Elsevier
Recent years have seen active research that utilizes information combining geographic data
and sensor data, called geospatial information, in urban planning, medical care and …

Shop area visit ratio, stay time, and sales outcomes: In-depth analysis based on RFID data

Z Li, K Ishibashi, K Takai, K Yada - 2015 2nd Asia-Pacific World …, 2015 - ieeexplore.ieee.org
Prior research identifies that" visit" and" stay" relate positively to individual's purchase
outcome. However, the mechanism that how do these two factors affect sales outcomes at …

[HTML][HTML] The Analysis of Customers' Transactions Based on POS and RFID Data Using Big Data Analytics Tools in the Retail Space of the Future

M Kholod, A Celani, G Ciaramella - Applied Sciences, 2024 - mdpi.com
In today's business landscape, the volume of transaction data is rapidly increasing. This
study explores the integration of Point of Sale (POS) and Radio-Frequency Identification …