Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce syste...
The complementary item recommender system (CIRS) recommends the compleme...
The recent work by Rendle et al. (2020), based on empirical observations...
Selecting the optimal recommender via online exploration-exploitation is...
Category recommendation for users on an e-Commerce platform is an import...
Sequential deep learning models such as RNN, causal CNN and attention
me...
Product embeddings have been heavily investigated in the past few years,...
Recommender systems are an essential part of any e-commerce platform.
Re...
Recommender Systems have become an integral part of online e-Commerce
pl...
The feedback data of recommender systems are often subject to what was
e...
Inductive representation learning on temporal graphs is an important ste...
Sequential modelling with self-attention has achieved cutting edge
perfo...
In this paper, we propose a new product knowledge graph (PKG) embedding
...
Modeling item complementariness and user preferences from purchase data ...
Modeling generative process of growing graphs has wide applications in s...
In a wide variety of applications, including personalization, we want to...