Results 271 to 280 of about 10,323,308 (323)

DLAN:Modeling user long- and short-term preferences based on double-layer attention network for next point-of-interest recommendation

Journal of Intelligent & Fuzzy Systems, 2023
The next Point-of-Interest (POI) recommendation, in recent years, has attracted an extensive amount of attention from the academic community. RNN-based methods cannot establish effective long-term dependencies among the input sequences when capturing the
Yuhan Wu, Xu Jiao, Qingbo Hao, Yingyuan Xiao, Wenguang Zheng   +4 more
semanticscholar   +1 more source

Temporal-geographical attention-based transformer for point-of-interest recommendation

Journal of Intelligent & Fuzzy Systems, 2023
Point-of-Interest (POI) recommendation is one of the most important tasks in the field of social network analysis. Many efforts have been proposed to enhance the model performance for the POI recommendation task in recent years.
Shaojie Jiang, Jiang Wu
semanticscholar   +1 more source

Privacy-Aware Point-of-Interest Category Recommendation in Internet of Things

IEEE Internet of Things Journal, 2022
In location-based social networks (LBSNs), extensive user check-in data incorporating user preferences for location is collected through Internet of Things devices, including cell phones and other sensing devices.
Lianyong Qi, Yuwen Liu, Yulan Zhang, Xiaolong Xu, Muhammad Bilal, H. Song   +5 more
semanticscholar   +1 more source

Point-of-Interest Recommendation With Global and Local Context

IEEE Transactions on Knowledge and Data Engineering, 2021
The task of point of interest (POI) recommendation aims to recommend unvisited places to users based on their check-in history. A major challenge in POI recommendation is data sparsity, because a user typically visits only a very small number of POIs ...
Peng Han, Shuo Shang, Aixin Sun, P. Zhao, Kai Zheng, Xiangliang Zhang   +5 more
semanticscholar   +1 more source

Interest Points of General Imbalance

IEEE Transactions on Image Processing, 2009
The imbalance oriented selection scheme was recently introduced to detect stable interest points in weakly or sparsely textured images. The scheme chooses image points whose one-pixel-wide directional intensity variations can be clustered into two imbalanced classes as candidates. An important property of imbalance oriented selection is that imbalanced
openaire   +3 more sources

Large Language Models for Next Point-of-Interest Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
The next Point of Interest (POI) recommendation task is to predict users' immediate next POI visit given their historical data. Location-Based Social Network (LBSN) data, which is often used for the next POI recommendation task, comes with challenges ...
Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim   +5 more
semanticscholar   +1 more source

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices

The Web Conference, 2020
In the modern tourism industry, next point-of-interest (POI) recommendation is an important mobile service as it effectively aids hesitating travelers to decide the next POI to visit.
Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung   +6 more
semanticscholar   +1 more source

Next point-of-interest recommendation by sequential feature mining and public preference awareness

Journal of Intelligent & Fuzzy Systems, 2021
With the widespread of location-based social networks (LBSNs), the amount of check-in data grows rapidly, which helps to recommend the next point-of-interest (POI).
Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu   +4 more
semanticscholar   +1 more source

Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation

International Conference on Information and Knowledge Management, 2020
Several geographical latent representation models that capture geographical influences among points-of-interest (POIs) have been proposed. Although the models improve POI recommendation performance, they depend on shallow methods that cannot effectively ...
Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang   +3 more
semanticscholar   +1 more source

Identifying and evaluating poverty using multisource remote sensing and point of interest (POI) data: A case study of Chongqing, China

, 2020
Poverty is a chronic worldwide dilemma that can seriously hamper human sustainable development, which is closely related to economic growth, environmental protection, ecological restoration, and sustainable utilization of resources.
Kaifang Shi, Zhijian Chang, Zuoqi Chen, Jianping Wu, Bailang Yu   +4 more
semanticscholar   +1 more source