Results 111 to 120 of about 2,209 (219)

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

RETRACTED: Next Point of Interest (POI) Recommendation System Driven by User Probabilistic Preferences and Temporal Regularities

Mathematics
The Point of Interest (POI) recommendation system is a critical tool for enhancing user experience by analyzing historical behaviors, social network data, and real-time location information with the increasing demand for personalized and intelligent ...
Fengyu Liu, Jinhe Chen, Jun Yu, Rui Zhong   +3 more
doaj   +1 more source

Next point of interest (POI) recommendation

, 2020
Next Point-of-Interest (POI) Recommendation systems nowadays often assume that the users' check-in records are accurate. However, the accuracy and certainty of a user's check-in history may not be guaranteed in a real-world application due to various ...
Wu, Ziqing
core  

GeoMamba: Toward Efficient Geography-Aware Sequential POI Recommendation

“Where to go next” is the fundamental problem in sequential point-of-interest (POI) recommendation, which takes as input the individual check-in history, mines the dynamic preference and suggests the expected POI for the next step behavior.
Jiubing Chen, Jianxin Shang, Haoyu Wang
core   +1 more source

A Tour Recommendation System Considering Implicit and Dynamic Information

Applied Sciences
Tourism has become one of the world’s largest service industries. Due to the rapid development of social media, more people like self-guided tours than package itineraries planned by travel agencies.
Chieh-Yuan Tsai, Kai-Wen Chuang, Hen-Yi Jen, Hao Huang   +3 more
doaj   +1 more source

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

IEEE Access
Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history.
Guoning Lv, Min Gao
doaj   +1 more source

TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation

Next Point-of-Interest (POI) recommendation has been proven effective at utilizing sparse, intricate spatial-temporal trajectory data to recommend subsequent POIs to users.
Yin, Baocai, Shen, Yanming, Qi, Heng, Zhuang, Zhuang, Wei, Tianxin, Liu, Lingbo   +5 more
core   +1 more source

Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation

Location-Based Social Networks (LBSNs) offer a rich dataset of user activity at Points-of-Interest (POIs), making next POI recommendation a key task. Traditional algorithms face challenges due to broad searching scopes, affecting recommendation accuracy.
Ren, Zheng, Song, Chao, Lu, Li
core   +1 more source

TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendation

The rapid growth of location acquisition technologies makes Point-of-Interest(POI) recommendation possible due to redundant user check-in records. In this paper, we focus on next POI recommendation in which next POI is based on previous POI.
Sun, Yiping
core  

Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model. [PDF]

Sci Rep
Song X, Liu Z, Meng L, Chu D, Yu J, Sheng QZ.   +5 more
europepmc   +1 more source