Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …

Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Due to the expansion of e-business, the availability of products on the internet has massively
increased. Finding suitable stuff from the vast array of products available on the internet is a …

Recommendation systems have become very popular in recent years and are used in
various web applications. Modern recommendation systems aim at providing users with …

With recent advancements in graph neural networks (GNN), GNN-based recommender
systems (gRS) have achieved remarkable success in the past few years. Despite this …

With the rapid growth of information, recommender systems have become integral for
providing personalized suggestions and overcoming information overload. However, their …

In the era of online business, many e-commerce sites have evolved which recommend items
according to one's needs and interests. Plenty of data is available to be processed to make …

In recent years, the Internet has had a main and important contribution to human life and the
amount of data on the World Wide Web such as books, movies, videos and, etc. increase …