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 …
Efficient itinerary recommendation via personalized POI selection and pruning
Personalized itinerary recommendation has garnered wide research interests for their
ubiquitous applications. Recommending personalized itineraries is complex because of the …
ubiquitous applications. Recommending personalized itineraries is complex because of the …
A survey on point-of-interest recommendation in location-based social networks
The popularization of Location-based social networks (LBSNs) in last years has provided a
lot of improvements in several Recommender Systems to the task of points-of-interest (POI) …
lot of improvements in several Recommender Systems to the task of points-of-interest (POI) …
Microscopic modeling of spatiotemporal epidemic dynamics
Conventional techniques of epidemic modeling are based on compartmental models, where
population groups are transitioning from one compartment to another-for example, S, I, or …
population groups are transitioning from one compartment to another-for example, S, I, or …
Point-of-interest recommendation in location-based social networks based on collaborative filtering and spatial kernel weighting
MH Vahidnia - Geocarto international, 2022 - Taylor & Francis
The growing popularity of location-based social networks (LBSNs), as well as their financial
benefits, has led to a variety of methods for point-of-interest (POI) recommendations. A …
benefits, has led to a variety of methods for point-of-interest (POI) recommendations. A …
A Mobility-based Recommendation System for Mitigating the Risk of Infection during Epidemics
The relationship between human mobility and the spread of an infectious disease has been
well documented. At the same time, availability of mobility data is growing due to …
well documented. At the same time, availability of mobility data is growing due to …
Dynamic Personalized POI Sequence Recommendation with Fine-Grained Contexts
The Point Of Interest (POI) sequence recommendation is the key task in itinerary and travel
route planning. Existing works usually consider the temporal and spatial factors in travel …
route planning. Existing works usually consider the temporal and spatial factors in travel …
Instagram Face and the Algorithm: How Popularity-Integrated Recommender Systems Homogenize Beauty Standards and Lower User Well-Being
Concerns about the negative mental health effects of social media, particularly those related
to poor female body image, are rising; however, identification of the antecedents of these …
to poor female body image, are rising; however, identification of the antecedents of these …