A next basket recommendation reality check
The goal of a next basket recommendation (NBR) system is to recommend items for the next
basket for a user, based on the sequence of their prior baskets. We examine whether the …
basket for a user, based on the sequence of their prior baskets. We examine whether the …
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
Complex item set recommendation
In this tutorial, we aim to shed light on the task of recommending a set of multiple items at
once. In this scenario, historical interaction data between users and items could also be in …
once. In this scenario, historical interaction data between users and items could also be in …
Who will purchase this item next? Reverse next period recommendation in grocery shop**
Recommender systems have become an essential instrument to connect people to the items
that they need. Online grocery shop** is one scenario where this is very clear. So-called …
that they need. Online grocery shop** is one scenario where this is very clear. So-called …
Forget me now: Fast and exact unlearning in neighborhood-based recommendation
Modern search and recommendation systems are optimized using logged interaction data.
There is increasing societal pressure to enable users of such systems to have some of their …
There is increasing societal pressure to enable users of such systems to have some of their …
[HTML][HTML] Online grocery shop** recommender systems: common approaches and practices
Food recommender systems have been developed for the online environment to support
shoppers in making informed decisions. These systems analyze the extensive data collected …
shoppers in making informed decisions. These systems analyze the extensive data collected …
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning
The growth of e-commerce has seen a surge in popularity of platforms like Amazon, eBay,
and Taobao. This has given rise to a unique shop** behavior involving baskets-sets of …
and Taobao. This has given rise to a unique shop** behavior involving baskets-sets of …
Target-driven user preference transferring recommendation
Y Lian, L Zhang, C Song - Expert Systems with Applications, 2024 - Elsevier
In the age of information overload, modern recommendation systems provide an important
role in hel** people screen massive information. With the development of deep learning …
role in hel** people screen massive information. With the development of deep learning …