Deep learning techniques for rating prediction: a survey of the state-of-the-art
With the growth of online information, varying personalization drifts and volatile behaviors of
internet users, recommender systems are effective tools for information filtering to overcome …
internet users, recommender systems are effective tools for information filtering to overcome …
Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
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 …
Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation
Abstract Point-of-Interest (POI) recommendation has been a trending research topic as it
generates personalized suggestions on facilities for users from a large number of candidate …
generates personalized suggestions on facilities for users from a large number of candidate …
Improvising personalized travel recommendation system with recency effects
A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …
place of interest to accommodate user-specific needs and preferences. In general, the user's …
Multi-graph heterogeneous interaction fusion for social recommendation
With the rapid development of online social recommendation system, substantial methods
have been proposed. Unlike traditional recommendation system, social recommendation …
have been proposed. Unlike traditional recommendation system, social recommendation …
Joint modeling of user check-in behaviors for real-time point-of-interest recommendation
Point-of-Interest (POI) recommendation has become an important means to help people
discover attractive and interesting places, especially when users travel out of town …
discover attractive and interesting places, especially when users travel out of town …
Cognition digital twins for personalized information systems of smart cities: Proof of concept
Amid the rapid development of information communication technologies (ICTs), residents of
future smart cities are expected to be exposed to unprecedented amounts of real-time …
future smart cities are expected to be exposed to unprecedented amounts of real-time …
Dynamic user modeling in social media systems
Social media provides valuable resources to analyze user behaviors and capture user
preferences. This article focuses on analyzing user behaviors in social media systems and …
preferences. This article focuses on analyzing user behaviors in social media systems and …
Garg: anonymous recommendation of point-of-interest in mobile networks by graph convolution network
The advances of mobile equipment and localization techniques put forward the accuracy of
the location-based service (LBS) in mobile networks. One core issue for the industry to …
the location-based service (LBS) in mobile networks. One core issue for the industry to …
Sequence-aware factorization machines for temporal predictive analytics
In various web applications like targeted advertising and recommender systems, the
available categorical features (eg, product type) are often of great importance but sparse. As …
available categorical features (eg, product type) are often of great importance but sparse. As …