Point of Interest Recommendation System Using Sentiment Analysis
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 +3 more
doaj +1 more source
Trajectory-based POI recommendations for mobile maps [PDF]
Abstract. Providing mobile map users with relevant information about their surroundings based on their current trajectory is a necessary next step in providing them with the information they need or want without requiring direct interaction with the map, which can be dangerous or distracting, as well as time-consuming and annoying.
openaire +2 more sources
A Tour Recommendation System Considering Implicit and Dynamic Information
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 +3 more
doaj +1 more source
Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation
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
Multi-View Contrastive Fusion POI Recommendation Based on Hypergraph Neural Network
In the era of information overload, location-based social software has gained widespread popularity, and the demand for personalized POI (Point of Interest) recommendation services is growing rapidly.
Luyao Hu +7 more
doaj +1 more source
Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model. [PDF]
Song X +5 more
europepmc +1 more source
Fertility Preservation for Patients with Malignant Disease. Guideline of the DGGG, OEGGG and SGGG (S2k-Level, AWMF Registry No. 015/082, May 2025). [PDF]
Lotz L +52 more
europepmc +1 more source
MBSCL-Net: Multi-Branch Spectral Network and Contrastive Learning for Next-Point-of-Interest Recommendation. [PDF]
Wang S, Zhang J, Zeng T.
europepmc +1 more source
Editorial: Machine learning and applied neuroscience, volume II. [PDF]
Dos Santos WP +3 more
europepmc +1 more source

