[HTML][HTML] Exploring an efficient POI recommendation model based on user characteristics and spatial-temporal factors
C Xu, D Liu, X Mei - Mathematics, 2021 - mdpi.com
The advent of mobile scenario-based consumption popularizes and gradually maturates the
application of point of interest (POI) recommendation services based on geographical …
application of point of interest (POI) recommendation services based on geographical …
LGLMF: local geographical based logistic matrix factorization model for POI recommendation
With the rapid growth of Location-Based Social Networks, personalized Points of Interest
(POIs) recommendation has become a critical task to help users explore their surroundings …
(POIs) recommendation has become a critical task to help users explore their surroundings …
PR-RCUC: A POI recommendation model using region-based collaborative filtering and user-based mobile context
Recent years have witnessed the rapid prevalence of big data and it is necessary for mobile
application to filter out information for users. As a significant means of information retrieval …
application to filter out information for users. As a significant means of information retrieval …
A self-adaptive point-of-interest recommendation algorithm based on a multi-order Markov model
S Liu, L Wang - Future Generation Computer Systems, 2018 - Elsevier
As one of the personalization technologies, point-of-interest (POI) recommendation systems
have attracted more and more attention from academic and industrial researchers …
have attracted more and more attention from academic and industrial researchers …
A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization
M Davtalab, AA Alesheikh - Knowledge and Information Systems, 2021 - Springer
In recent years, point of interest (POI) recommendation has gained increasing attention all
over the world. POI recommendation plays an indispensable role in assisting people to find …
over the world. POI recommendation plays an indispensable role in assisting people to find …
A novel POI recommendation method based on trust relationship and spatial–temporal factors
C Xu, AS Ding, K Zhao - Electronic Commerce Research and Applications, 2021 - Elsevier
Existing point-of-interesting (POI) recommendation methods lack sufficient integration of
information related to the features of individual users and their corresponding contexts …
information related to the features of individual users and their corresponding contexts …
[HTML][HTML] A point-of-interest recommendation method exploiting sequential, category and geographical influence
X Wang, Y Liu, X Zhou, X Wang, Z Leng - ISPRS International Journal of …, 2022 - mdpi.com
Point of interest (POI) recommendation as an important service in location-based social
networks has developed rapidly, which can help users find more interesting unknown …
networks has developed rapidly, which can help users find more interesting unknown …
Adapting to user interest drift for poi recommendation
Point-of-Interest recommendation is an essential means to help people discover attractive
locations, especially when people travel out of town or to unfamiliar regions. While a …
locations, especially when people travel out of town or to unfamiliar regions. While a …
Joint modeling of user check-in behaviors for point-of-interest recommendation
Point-of-Interest (POI) recommendation has become an important means to help people
discover attractive and interesting locations, especially when users travel out of town …
discover attractive and interesting locations, especially when users travel out of town …
[PDF][PDF] Content-aware hierarchical point-of-interest embedding model for successive poi recommendation.
Recommending a point-of-interest (POI) a user will visit next based on temporal and spatial
context information is an important task in mobile-based applications. Recently, several POI …
context information is an important task in mobile-based applications. Recently, several POI …