TOWARDS A PERSONALIZED RECOMMENDATION MODEL IN LOCATION-BASED SOCIAL NETWORKS

被引：0
|
作者：
Atassi, Reem [1 ]
Al-Shamaileh, Ons [2 ]
Hacid, Hakim [2 ]
机构：
[1] Amer Univ Emirates, Dubai, U Arab Emirates
[2] Zayed Univ, Dubai, U Arab Emirates
来源：
MODELLING AND SIMULATION 2021: 35TH ANNUAL EUROPEAN SIMULATION AND MODELLING CONFERENCE 2021 (ESM 2021) | 2021年
关键词：
Recommendation System; Location-Based Social Networks; Meta Path-Based Search; Hybrid Recommendation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：216 / 223
页数：8
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