A heterogeneous E-commerce user alignment model based on data enhancement and data representation
S Wei, X Zhou, X An, X Yang, Y Xiao - Expert Systems with Applications, 2023 - Elsevier
Identifying users' accounts on different platforms is important for the management and
marketing of e-commerce platforms. To address the problem of sparse consumer behavior …
marketing of e-commerce platforms. To address the problem of sparse consumer behavior …
A visiting sequence recommendation framework: Enhanced by dynamic landmark and stay time
CY Tsai, YJ Chen, AS Peña, G Paniagua - Expert Systems with Applications, 2023 - Elsevier
The content shared via social media significantly influences tourists' travel planning process
and even destination decisions. By analyzing the shared text, photos, and videos on social …
and even destination decisions. By analyzing the shared text, photos, and videos on social …
MARAN: Supporting awareness of users' routines and preferences for next POI recommendation based on spatial aggregation
Next point-of-interest (POI) recommendation has emerged as an essential task in
recommender systems with the rapid development of location-based social networks …
recommender systems with the rapid development of location-based social networks …
High-order spatial connectivity mining over neural graph collaborative filtering for POI recommendation in location-based social networks
Abstract Point-of-Interest (POI) recommendation using preference mining based on spatial
data ascertained through Location-based Social Networks (LBSNs) is a critical personalized …
data ascertained through Location-based Social Networks (LBSNs) is a critical personalized …
A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data
Tourism is an important application domain for recommender systems. In this domain,
recommender systems are for example tasked with providing personalized …
recommender systems are for example tasked with providing personalized …
Three-layered location recommendation algorithm using spectral clustering
Abstract Users utilize Location-Based Social Networks (LBSNs) to check into diverse venues
and share their experiences through ratings and comments. However, these platforms …
and share their experiences through ratings and comments. However, these platforms …
Four-dimensional trust propagation model for improving the accuracy of recommender systems
S Sheibani, H Shakeri, R Sheibani - The Journal of Supercomputing, 2023 - Springer
Collaborative filtering (CF) is the most popular approach for predicting relevant items in
recommender systems. However, basic CF suffers from some serious problems including …
recommender systems. However, basic CF suffers from some serious problems including …
SQPMF: successive point of interest recommendation system based on probability matrix factorization
With the development of Location-Based Social Networks, successive Point Of Interest (POI)
recommendation systems have become a hot spot in the field of recommendation systems …
recommendation systems have become a hot spot in the field of recommendation systems …
A Comparitive Study on Point-of-Interest Recommendation Techniques in Location-Based Social Network
Location-Based Social Networks (LBSNs) are a special form of social Web system where
users can create social connections with other system users or register each time they visit a …
users can create social connections with other system users or register each time they visit a …
[PDF][PDF] Point of Interest recommendation for social network using the Internet of Things and deep reinforcement learning
S Wang - Mathematical Biosciences and Engineering, 2023 - aimspress.com
Point of Interest (POI) recommendation is one of the important means for businesses to fully
understand user preferences and meet their personalized needs, laying a solid foundation …
understand user preferences and meet their personalized needs, laying a solid foundation …