Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …

Abstract Knowledge Graph Embedding (KGE)-enhanced recommender systems are
effective in providing accurate and personalized recommendations in diverse application …

In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

A knowledge graph is convenient for storing knowledge in artificial intelligence applications.
On the other hand, it has some shortcomings that need to be improved. These shortcomings …

Cross-domain recommendations (CDRs), which can leverage the relatively abundant
information from a richer domain to improve the recommendation performance in a sparser …

The task of inferring missing facts using the temporal knowledge graph (TKG) is important
and has been widely studied. Extrapolation in TKG inference is more challenging because …

With the current explosion of information, the end-users find it challenging to filter this
information. Recommendation systems present solutions to filter and prioritize the …

Bilginin doğasına ilişkin, onu şekillendiren çok çeşitli unsurlar bulunmaktadır. Örneğin
güvenirlik, tutarlılık, değişmezlik ve bağlam gibi mekanizmalar bunların başında gelir. Ancak …