Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions
The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
An attention‐based category‐aware GRU model for the next POI recommendation
With the continuous accumulation of users' check‐in data, we can gradually capture users'
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
[HTML][HTML] COVID-19 pandemic changes the recreational use of Moscow parks in space and time: Outcomes from crowd-sourcing and machine learning
The limited access to urban green spaces during the COVID-19 pandemic had a negative
impact on the human-nature interaction in cities and human well-being. Number of visitors to …
impact on the human-nature interaction in cities and human well-being. Number of visitors to …
Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
P Sánchez, A Bellogín - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …
interest within the widely adopted technologies known as Recommender Systems. Among …
Deep learning methods for fingerprint-based indoor positioning: A review
F Alhomayani, MH Mahoor - Journal of Location Based Services, 2020 - Taylor & Francis
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …
shortcomings that have deemed their use for indoor positioning impractical. Location …
[图书][B] Digital timescapes: Technology, temporality and society
R Kitchin - 2023 - books.google.com
Digital technologies are having a profound effect on the temporalities of individuals,
households and organisations. We now expect to be able to instantly source a vast array of …
households and organisations. We now expect to be able to instantly source a vast array of …
An empirical investigation into the altering health perspectives in the internet of health things
NM Bahbouh, SS Compte, JV Valdes… - International Journal of …, 2023 - Springer
Healthcare is on top of the agenda of all governments in the world as it is related to the well-
being of the people. Naturally, this domain has attracted the attention of many researchers …
being of the people. Naturally, this domain has attracted the attention of many researchers …
Support vector regression for mobile target localization in indoor environments
Trilateration-based target localization using received signal strength (RSS) in a wireless
sensor network (WSN) generally yields inaccurate location estimates due to high …
sensor network (WSN) generally yields inaccurate location estimates due to high …
CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches
The prevalence of ubiquitous location-aware devices and mobile Internet enables us to
collect massive individual-level trajectory dataset from users. Such trajectory big data bring …
collect massive individual-level trajectory dataset from users. Such trajectory big data bring …