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 …
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 …
[PDF][PDF] Identifying Human Mobility via Trajectory Embeddings.
Understanding human trajectory patterns is an important task in many location based social
networks (LBSNs) applications, such as personalized recommendation and preference …
networks (LBSNs) applications, such as personalized recommendation and preference …
Empowering A* search algorithms with neural networks for personalized route recommendation
Personalized Route Recommendation (PRR) aims to generate user-specific route
suggestions in response to users' route queries. Early studies cast the PRR task as a …
suggestions in response to users' route queries. Early studies cast the PRR task as a …
Spatial-temporal interval aware individual future trajectory prediction
The past flourishing years of sequential location-based services began with the introduction
of the Self-Attention Network (SAN), which quickly superseded CNN or RNN as the state-of …
of the Self-Attention Network (SAN), which quickly superseded CNN or RNN as the state-of …
Multi-objective reinforcement learning approach for trip recommendation
Trip recommendation is an intelligent service that provides personalized itinerary plans for
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …
Multi-modal transportation recommendation with unified route representation learning
Multi-modal transportation recommendation aims to provide the most appropriate travel
route with various transportation modes according to certain criteria. After analyzing large …
route with various transportation modes according to certain criteria. After analyzing large …
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 …
Personalized itinerary recommendation with queuing time awareness
Personalized itinerary recommendation is a complex and time-consuming problem, due to
the need to recommend popular attractions that are aligned to the interest preferences of a …
the need to recommend popular attractions that are aligned to the interest preferences of a …
Linked open data in location-based recommendation system on tourism domain: A survey
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …
In the tourism domain, many studies are using linked open data to address the problem of …