Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems

Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems

Abstract This paper introduces a purposed Location-based Recommender System (LBRS) that combines sentiment analysis and topic modelling techniques to improve user profiling for enhancing recommendations of Points of Interest (POIs). Using additional feature extraction, we built user profiles froma F...

Full description

Bibliographic Details
Main Authors: Xiaohui Tao, Nischal Sharma, Patrick Delaney, Aimin Hu
Format: Article
Language:English
Published: Springer Nature 2021-07-01
Series:Human-Centric Intelligent Systems
Subjects:
Location-based recommender system
Foursquare
sentiment analysis
topic modelling
venue recommendation
places of interest
Online Access:https://doi.org/10.2991/hcis.k.210704.001

Internet

https://doi.org/10.2991/hcis.k.210704.001

Similar Items