Recommender systems have become an important research field since the emergence of
the first paper on collaborative filtering in the mid-1990s. Although academic research on …

Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

Nowadays, various recommender systems are popular and their main aim is to recommend
suitable content to the user based on various parameters. This article proposes a hybrid …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Bundle recommendation aims to recommend the user a bundle of items as a whole.
Previous models capture user's preferences on both items and the association of items …

Recommender systems are becoming increasingly important to individual users and
businesses for providing personalized recommendations. However, while the majority of …

Online word-of-mouth (WOM) such as consumer opinions, user experiences, and product
reviews has become a major information source in consumer purchase decisions. Prior …

Most recommendation research has been concentrated on recommending single items to
users, such as the considerable work on collaborative filtering that models the interaction …

Product bundling is a commonly-used marketing strategy in both offline retailers and online
e-commerce systems. Current research on bundle recommendation is limited by:(1) noisy …

Facing fierce competition, e-commerce platforms are implementing various promotional
strategies to attract consumers. Based on real-world transaction data from the largest online …