Fidora: Robust WiFi-based indoor localization via unsupervised domain adaptation
Emerging Internet of Things (IoT) applications, such as cashier-less shopping, mobile ads
targeting, and geo-based augmented reality (AR), are expected to bring us much more …
targeting, and geo-based augmented reality (AR), are expected to bring us much more …
Self-supervised representation learning for geographical data—A systematic literature review
P Corcoran, I Spasić - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Self-supervised representation learning (SSRL) concerns the problem of learning a useful
data representation without the requirement for labelled or annotated data. This …
data representation without the requirement for labelled or annotated data. This …
A combined online-learning model with K-means clustering and GRU neural networks for trajectory prediction
P Han, W Wang, Q Shi, J Yue - Ad Hoc Networks, 2021 - Elsevier
An aircraft has an obvious state division in a complete flight mission, the data of the
trajectory points also have specific characteristics in each flight state, so the trajectory data …
trajectory points also have specific characteristics in each flight state, so the trajectory data …
Hybrid graph convolutional networks with multi-head attention for location recommendation
Recommending yet-unvisited points of interest (POIs) which may be of interest to users is
one of the fundamental applications in location-based social networks. It mainly replies on …
one of the fundamental applications in location-based social networks. It mainly replies on …
Contrastive trajectory learning for tour recommendation
The main objective of Personalized Tour Recommendation (PTR) is to generate a sequence
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …
[HTML][HTML] A survey on personalized itinerary recommendation: From optimisation to deep learning
The tourism industry is a significant contributor to the global economy, responsible for
generating nearly 10% of the world's GDP and employing around 9% of the global …
generating nearly 10% of the world's GDP and employing around 9% of the global …
Fido: Ubiquitous fine-grained wifi-based localization for unlabelled users via domain adaptation
To fully support the emerging location-aware applications, location information with meter-
level resolution (or even higher) is required anytime and anywhere. Unfortunately, most of …
level resolution (or even higher) is required anytime and anywhere. Unfortunately, most of …
Urban flow prediction with spatial–temporal neural ODEs
With the recent advances in deep learning, data-driven methods have shown compelling
performance in various application domains enabling the Smart Cities paradigm …
performance in various application domains enabling the Smart Cities paradigm …
A Survey on Bundle Recommendation: Methods, Applications, and Challenges
In recent years, bundle recommendation systems have gained significant attention in both
academia and industry due to their ability to enhance user experience and increase sales by …
academia and industry due to their ability to enhance user experience and increase sales by …
[HTML][HTML] Capacity-aware fair poi recommendation combining transformer neural networks and resource allocation policy
Point of Interest (POI) recommendations have primarily focused on maximising user
satisfaction, while neglecting the needs of POIs and their operators. One such need is …
satisfaction, while neglecting the needs of POIs and their operators. One such need is …