Tour recommendation and trip planning using location-based social media: A survey
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 …
around the world. One important task for tourists is to plan and schedule tour itineraries that …
An extensive study on the evolution of context-aware personalized travel recommender systems
S Renjith, A Sreekumar, M Jathavedan - Information Processing & …, 2020 - Elsevier
Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …
of human life so as travel recommendations, though the early form of recommendations …
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
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 …
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …
Points of interest recommendations: methods, evaluation, and future directions
The emergence of Location-based social networks (LBSNs) in recent years has boosted
improvements in Recommender Systems for a new and specific task: the recommendation of …
improvements in Recommender Systems for a new and specific task: the recommendation of …
[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 …
POI recommendation with queuing time and user interest awareness
Abstract Point-of-interest (POI) recommendation is a challenging problem due to different
contextual information and a wide variety of human mobility patterns. Prior studies focus on …
contextual information and a wide variety of human mobility patterns. Prior studies focus on …
Attentive multi-task learning for group itinerary recommendation
Tourism is one of the largest service industries and a popular leisure activity participated by
people with friends or family. A significant problem faced by the tourists is how to plan …
people with friends or family. A significant problem faced by the tourists is how to plan …
A new point-of-interest approach based on multi-itinerary recommendation engine
JL Sarkar, A Majumder - Expert Systems with Applications, 2021 - Elsevier
The significance of tourism in the globe today is enormous since it is a major source of
income and jobs for a nation. Tourists are facing a range of difficulties as they select suitable …
income and jobs for a nation. Tourists are facing a range of difficulties as they select suitable …
Modified ALNS algorithm for a processing application of family tourist route planning: a case study of Buriram in Thailand
This research presents a solution to the family tourism route problem by considering daily
time windows. To find the best solution for travel routing, the modified adaptive large …
time windows. To find the best solution for travel routing, the modified adaptive large …
TruGRC: Trust-aware group recommendation with virtual coordinators
In recent years, an increase in group activities on websites has led to greater demand for
highly-functional group recommender systems. The goal of group recommendation is to …
highly-functional group recommender systems. The goal of group recommendation is to …