Towards a personalized recommendation model in location-based social networks
Source of Publication
35th Annual European Simulation and Modelling Conference 2021, ESM 2021
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.
Hybrid recommendation, Location-based social networks, Meta path-based search, Recommendation system
Atassi, Reem; Al-Shamaileh, Ons; and Hacid, Hakim, "Towards a personalized recommendation model in location-based social networks" (2021). All Works. 4703.
Indexed in Scopus