Results 31 to 40 of about 459,897 (295)

Next point-of-interest recommendation on resource-constrained mobile devices

, 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.
Zhao, Yanchang, Yanchang Zhao, Huang, Zi, Hongzhi Yin, Hao Wang, Tong Chen, Nguyen Quoc Viet Hung, Wang, Qinyong, Qinyong Wang, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Zi Huang, Chen, Tong, Wang, Hao, Viet Hung, Nguyen Quoc   +14 more
core   +1 more source

A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence

ISPRS International Journal of Geo-Information, 2022
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 locations and facilitate service providers to provide users with more accurate ...
Xican Wang, Yanheng Liu, Xu Zhou, Xueying Wang, Zhaoqi Leng   +4 more
doaj   +1 more source

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation

, 2020
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 venues.
Sun, Ke, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Qian, Tieyun, Liang, Yile, Chen, Tong   +5 more
core   +1 more source

RecPOID: POI Recommendation with Friendship Aware and Deep CNN

Future Internet, 2021
In location-based social networks (LBSNs), exploit several key features of points-of-interest (POIs) and users on precise POI recommendation be significant. In this work, a novel POI recommendation pipeline based on the convolutional neural network named
Sadaf Safavi, Mehrdad Jalali
doaj   +1 more source

A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation

ISPRS International Journal of Geo-Information, 2020
With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural
Chunyang Liu, Jiping Liu, Shenghua Xu, Jian Wang, Chao Liu, Tianyang Chen, Tao Jiang   +6 more
doaj   +1 more source

How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks

International Journal of Information Management Data Insights, 2023
Point of Interest (POI) recommendation is an important Location-Based Social Network (LBSN) task that has become a hotspot in the past decade. It aims to exploit the user's preferences for venues and recommend the POIs for their next visit.
Malika Acharya, Shilpi Yadav, Krishna Kumar Mohbey   +2 more
doaj   +1 more source

AUC-MF: Point of Interest Recommendation with AUC Maximization

, 2019
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, Zhao, Peilin, Shuo Shang, Aixin Sun, Shang, Shuo, Panos Kalnis, Han, Peng, Kalnis, Panos, Peilin Zhao, Zheng, Kai, Kai Zheng, Sun, Aixin   +11 more
core   +2 more sources

CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation

IEEE Access, 2022
Point-of-interest (POI) recommendation system that tries to anticipate user’s next visiting location has attracted a plentiful research interest due to its ability in generating personalized suggestions.
Md. Billal Hossain, Mohammad Shamsul Arefin, Iqbal H. Sarker, Md. Kowsher, Pranab Kumar Dhar, Takeshi Koshiba   +5 more
doaj   +1 more source

Point-of-interest recommendation using extended random walk with restart on geographical-temporal hybrid tripartite graph [PDF]

, 2021
Previous studies neglected the impact of shared spatio-temporal interests in the Point of Interest (POI) recommendation. The proposed GHTG-ERWR method simultaneously models shared spatio-temporal preferences of users, the dynamics of users’ behavior, and
Taheri, Mozhgan, Alimohammadi, Abbas, Moradi, Parham, Farnaghi, M.; id_orcid, Farnaghi, M., Khoshahval, Samira   +5 more
core   +1 more source

Point of Interest Recommendation System Using Sentiment Analysis

Journal of Information Science Theory and Practice
Sentiment analysis is one of the promising approaches for developing a point of interest (POI) recommendation system. It uses natural language processing techniques that deploy expert insights from user-generated content such as reviews and feedback.
Gaurav Meena, Ajay Indian, Krishna Kumar Mohbey, Kunal Jangid   +3 more
doaj   +1 more source