Deep learning techniques for rating prediction: a survey of the state-of-the-art

ZY Khan, Z Niu, S Sandiwarno, R Prince - Artificial Intelligence Review, 2021 - Springer
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 …

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 …

Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation

K Sun, T Qian, T Chen, Y Liang, QVH Nguyen… - Proceedings of the AAAI …, 2020 - aaai.org
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 …

Improvising personalized travel recommendation system with recency effects

P Nitu, J Coelho, P Madiraju - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
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 …

Multi-graph heterogeneous interaction fusion for social recommendation

C Zhang, Y Wang, L Zhu, J Song, H Yin - ACM Transactions on …, 2021 - dl.acm.org
With the rapid development of online social recommendation system, substantial methods
have been proposed. Unlike traditional recommendation system, social recommendation …

Joint modeling of user check-in behaviors for real-time point-of-interest recommendation

H Yin, B Cui, X Zhou, W Wang, Z Huang… - ACM Transactions on …, 2016 - dl.acm.org
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 …

Cognition digital twins for personalized information systems of smart cities: Proof of concept

J Du, Q Zhu, Y Shi, Q Wang, Y Lin… - Journal of Management in …, 2020 - ascelibrary.org
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 …

Dynamic user modeling in social media systems

H Yin, B Cui, L Chen, Z Hu, X Zhou - ACM Transactions on Information …, 2015 - dl.acm.org
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 …

Garg: anonymous recommendation of point-of-interest in mobile networks by graph convolution network

S Wu, Y Zhang, C Gao, K Bian, B Cui - Data Science and Engineering, 2020 - Springer
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 …

Sequence-aware factorization machines for temporal predictive analytics

T Chen, H Yin, QVH Nguyen, WC Peng… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
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 …