Leveraging multimodal features and item-level user feedback for bundle construction

Y Ma, X Liu, Y Wei, Z Tao, X Wang… - Proceedings of the 17th …, 2024 - dl.acm.org
Automatic bundle construction is a crucial prerequisite step in various bundle-aware online
services. Previous approaches are mostly designed to model the bundling strategy of …

Revisiting bundle recommendation: Datasets, tasks, challenges and opportunities for intent-aware product bundling

Z Sun, J Yang, K Feng, H Fang, X Qu… - Proceedings of the 45th …, 2022 - dl.acm.org
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 …

Personalized bundle list recommendation

J Bai, C Zhou, J Song, X Qu, W An, Z Li… - The World Wide Web …, 2019 - dl.acm.org
Product bundling, offering a combination of items to customers, is one of the marketing
strategies commonly used in online e-commerce and offline retailers. A high-quality bundle …

Revisiting Bundle Recommendation for Intent-aware Product Bundling

Z Sun, K Feng, J Yang, H Fang, X Qu, YS Ong… - ACM Transactions on …, 2024 - dl.acm.org
Product bundling represents a prevalent marketing strategy in both offline stores and e-
commerce systems. Despite its widespread use, previous studies on bundle …

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation

Z Sun, K Feng, J Yang, X Qu, H Fang, YS Ong… - arXiv preprint arXiv …, 2023 - arxiv.org
Product bundling has evolved into a crucial marketing strategy in e-commerce. However,
current studies are limited to generating (1) fixed-size or single bundles, and most …

[HTML][HTML] Accurate bundle matching and generation via multitask learning with partially shared parameters

H Jeon, JG Jang, T Kim, U Kang - Plos one, 2023 - journals.plos.org
How can we recommend existing bundles to users accurately? How can we generate new
tailored bundles for users? Recommending a bundle, or a group of various items, has …

Strategy-aware bundle recommender system

Y Wei, X Liu, Y Ma, X Wang, L Nie… - Proceedings of the 46th …, 2023 - dl.acm.org
A bundle is a group of items that provides improved services to users and increased profits
for sellers. However, locating the desired bundles that match the users' tastes still …

Bruce: Bundle recommendation using contextualized item embeddings

T Avny Brosh, A Livne, O Sar Shalom… - Proceedings of the 16th …, 2022 - dl.acm.org
A bundle is a pre-defined set of items that are collected together. In many domains, bundling
is one of the most important marketing strategies for item promotion, commonly used in e …

Automated bundle discovery platform

JT Hanlon, ST Sandler, D Tarekegn… - US Patent …, 2016 - Google Patents
BACKGROUND In today's competitive retail environment, merchants seek opportunities to
stay competitive among growing competi tion. To this end, merchants have explored …

Product bundle identification using semi-supervised learning

H Tzaban, I Guy, A Greenstein-Messica… - Proceedings of the 43rd …, 2020 - dl.acm.org
Many sellers on e-commerce platforms offer buyers product bundles, which package
together two or more different items. The identification of such bundles is a necessary step to …