Many of today's online services provide personalized recommendations to their users. Such
recommendations are typically designed to serve certain user needs, eg, to quickly find …

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 …

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 …

As a fundamental yet significant process in personalized recommendation, candidate
generation and suggestion effectively help users spot the most suitable items for them …

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

If one customer buys a tennis racket, what are the best 3 complementary products to
purchase together? 3 tennis ball packs, 3 headbands, 3 overgrips, or 1 of each respectively …

Existing recommender algorithms mainly focused on recommending individual items by
utilizing user-item interactions. However, little attention has been paid to recommend user …

Recommending packages of items to groups of users has several applications, including
recommending vacation packages to groups of tourists, entertainment packages to groups of …

Recent years have witnessed the rapid accumulation of massive electronic medical records,
which highly support intelligent medical services such as drug recommendation. However …

Bundle recommender systems recommend sets of items (eg, pants, shirt, and shoes) to
users, but they often suffer from two issues: significant interaction sparsity and a large output …