Tour recommendation and trip planning using location-based social media: A survey

KH Lim, J Chan, S Karunasekera, C Leckie - Knowledge and Information …, 2019 - Springer
Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism

HU Rehman Khan, CK Lim, MF Ahmed, KL Tan… - Sustainability, 2021 - mdpi.com
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …

Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency

KH Lim, J Chan, C Leckie, S Karunasekera - Knowledge and Information …, 2018 - Springer
Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …

Spatial keyword search: a survey

L Chen, S Shang, C Yang, J Li - GeoInformatica, 2020 - Springer
Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …

Contrastive trajectory learning for tour recommendation

F Zhou, P Wang, X Xu, W Tai, G Trajcevski - ACM Transactions on …, 2021 - dl.acm.org
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 …

[HTML][HTML] A survey on personalized itinerary recommendation: From optimisation to deep learning

S Halder, KH Lim, J Chan, X Zhang - Applied Soft Computing, 2024 - Elsevier
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 …

[HTML][HTML] Capacity-aware fair poi recommendation combining transformer neural networks and resource allocation policy

S Halder, KH Lim, J Chan, X Zhang - Applied Soft Computing, 2023 - Elsevier
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 …

Personalized itinerary recommendation: Deep and collaborative learning with textual information

L Chen, L Zhang, S Cao, Z Wu, J Cao - Expert Systems with Applications, 2020 - Elsevier
Personalized itinerary recommendation is a complicated and challenging task, which aims
to construct and recommend a visit sequence consists of multiple Points of Interest (POIs) …

Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion

Q Gao, W Wang, L Huang, X Yang, T Li, H Fujita - Information Fusion, 2023 - Elsevier
Trip recommendation is a popular and significant location-aware service that can help
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …

Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions

S Liu, H Jiang - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Personalized route recommendation aims to recommend routes based on users' route
preference. The vast amount of GPS trajectories tracking driving behavior has made deep …