Human-Centric Intelligent Systems

Volume 1, Issue 1-2, June 2021, Pages 32 - 42

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

Authors
Xiaohui Tao1, *, Nischal Sharma1, Patrick Delaney1, Aimin Hu2
1School of Sciences, University of Southern Queensland, Australia
2Guilin Tourism University, Guilin, China
*Corresponding author. Email: xiaohui.tao@usq.edu.au
Corresponding Author
Xiaohui Tao
Received 12 March 2021, Accepted 4 July 2021, Available Online 19 July 2021.
DOI
https://doi.org/10.2991/hcis.k.210704.001How to use a DOI?
Keywords
Location-based recommender system, Foursquare, sentiment analysis, topic modelling, venue recommendation, places of interest
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 from a Foursquare dataset to evaluate our model and provide recommendations based on user opinions toward venues. Our combined model performed favourably against the baseline models, with an overall improved accuracy of 0.67. The limitations were the use of one dataset and that user profiles were constructed using predicted emotions extracted as features from review data with topic modelling, rather than literal user emotions. Nevertheless, this provides a step forward in user profile and emotion scoring, contributing further to the development of LBRS in the Tourism domain.

Copyright
© 2021 The Authors. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Human-Centric Intelligent Systems
Volume-Issue
1 - 1-2
Pages
32 - 42
Publication Date
2021/07/19
ISSN (Online)
2667-1336
DOI
https://doi.org/10.2991/hcis.k.210704.001How to use a DOI?
Copyright
© 2021 The Authors. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xiaohui Tao
AU  - Nischal Sharma
AU  - Patrick Delaney
AU  - Aimin Hu
PY  - 2021
DA  - 2021/07/19
TI  - Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems
JO  - Human-Centric Intelligent Systems
SP  - 32
EP  - 42
VL  - 1
IS  - 1-2
SN  - 2667-1336
UR  - https://doi.org/10.2991/hcis.k.210704.001
DO  - https://doi.org/10.2991/hcis.k.210704.001
ID  - Tao2021
ER  -