The increase in online information and the expanding diversity of user preferences require
developing improved recommender systems. Cross-domain recommender systems (CDRS) …

Cross-domain recommendations (CDR) present a viable solution and are increasingly used
to address the cold-start problem. Recently, CDR methods are utilizing deep models to …

Research on cross-domain recommendation systems (CDRS) has shown efficiency by
leveraging the overlapping associations between domains in order to generate more …

Cross-domain recommender systems, which serve as a panacea to data sparsity and cold-
start problems, are increasingly vital for providing personalized content across diverse …

Recommender systems are crucial in today's digital world, by enhancing user engagement
experience in digital ecosystems. Internet of things (IoT) have huge potential to generate …

Background: With the explosion of data in recent years, recommender systems have
become increasingly important for personalized services and enhancing user engagement …

Objective: This study develops a recommendation system for cultural attractions in Bangkok,
aligning with the Sustainable Development Goals (SDGs). The system aims to streamline …

Many industries use recommendation systems (RS) to identify product recommendations
when users actively participate on e-commerce sites. Recently, massive growth in both …

The increase in online information and the expanding diversity of user preferences require
developing improved recommender systems. Cross-domain recommender systems (CDRS) …