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 …
Hme: A hyperbolic metric embedding approach for next-poi recommendation
With the increasing popularity of location-aware social media services, next-Point-of-Interest
(POI) recommendation has gained significant research interest. The key challenge of next …
(POI) recommendation has gained significant research interest. The key challenge of next …
A category-aware deep model for successive POI recommendation on sparse check-in data
As considerable amounts of POI check-in data have been accumulated, successive point-of-
interest (POI) recommendation is increasingly popular. Existing successive POI …
interest (POI) recommendation is increasingly popular. Existing successive POI …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
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 …
Tourism recommendation system: A survey and future research directions
Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …
provide valuable suggestions to the user and are used in several domains. Social media …
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 …
[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 …
[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 …
Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion
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 …
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …