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 …
Spatiotemporal representation learning for translation-based POI recommendation
The increasing proliferation of location-based social networks brings about a huge volume
of user check-in data, which facilitates the recommendation of points of interest (POIs). Time …
of user check-in data, which facilitates the recommendation of points of interest (POIs). Time …
Contrastive graph learning long and short-term interests for POI recommendation
Modeling users' short-term dynamic and long-term static interests to enhance Point-of-
Interests (POI) recommendation performance has shown lots of advantages. Since users' …
Interests (POI) recommendation performance has shown lots of advantages. Since users' …
Personalized context-aware point of interest recommendation
M Aliannejadi, F Crestani - ACM Transactions on Information Systems …, 2018 - dl.acm.org
Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
Combining geographical and social influences with deep learning for personalized point-of-interest recommendation
Personalized point-of-interest (POI) recommendation is important to location-based social
networks (LBSNs) for helping users to explore new places and for helping third-party …
networks (LBSNs) for helping users to explore new places and for helping third-party …
[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 …
Joint geographical and temporal modeling based on matrix factorization for point-of-interest recommendation
With the popularity of Location-based Social Networks, Point-of-Interest (POI)
recommendation has become an important task, which learns the users' preferences and …
recommendation has become an important task, which learns the users' preferences and …
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 …
User Modeling for Point‐of‐Interest Recommendations in Location‐Based Social Networks: The State of the Art
S Liu - Mobile Information Systems, 2018 - Wiley Online Library
The rapid growth of location‐based services (LBSs) has greatly enriched people's urban
lives and attracted millions of users in recent years. Location‐based social networks …
lives and attracted millions of users in recent years. Location‐based social networks …
Point-of-interest recommendation model considering strength of user relationship for location-based social networks
Y Zhou, G Yang, B Yan, Y Cai, Z Zhu - Expert Systems with Applications, 2022 - Elsevier
Point of interest (POI) recommendation systems have drawn the attention of researchers in
multiple domains, particularly location-based social networks (LBSNs). However, owing to …
multiple domains, particularly location-based social networks (LBSNs). However, owing to …