Article
Towards a personalized recommendation model in location-based social networks
35th Annual European Simulation and Modelling Conference 2021, ESM 2021
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract
We propose a hybrid recommendation model in Location-Based Social Networks (LBSN). The model is designed to recommend a list of Points of Interest (POIs), which is a tailored list of top-k venues, that meets user’s preferences. The model utilizes heterogeneous relations in location-based social networks to produce a high-quality recommendation and improve the user’s satisfaction on the recommended venues. The proposed model utilizes Meta Path-Based Search, to estimate the similarity between the user and the venues located within the area of interest.
ISBN
9789492859181
Disciplines
Keywords
- Hybrid recommendation,
- Location-based social networks,
- Meta path-based search,
- Recommendation system
Scopus ID
85119619893
Indexed in Scopus
Yes
Open Access
No
Citation Information
Reem Atassi, Ons Al-Shamaileh and Hakim Hacid. "Towards a personalized recommendation model in location-based social networks" 35th Annual European Simulation and Modelling Conference 2021, ESM 2021 (2021) p. 216 - 223 Available at: http://works.bepress.com/ons-al-shamaileh/5/