Next basket recommendation model based on attribute-aware multi-level attention

T Liu, X Yin, W Ni - IEEE Access, 2020 - ieeexplore.ieee.org
Next basket recommendation is a challenging problem, mainly due to the relationships
among the items in a basket almost not being considered in current research. In this article …

Inter-basket and intra-basket adaptive attention network for next basket recommendation

B Che, P Zhao, J Fang, L Zhao, VS Sheng, Z Cui - IEEE Access, 2019 - ieeexplore.ieee.org
Next basket recommendation with consideration of user sequential shopping behaviors
plays a significant role in E-commerce to improve the user experience and service quality …

Repetition Dynamics-based Deep Learning Model for Next Basket Recommendation

KK Sinha, S Suvvari - SN Computer Science, 2023 - Springer
Abstract Next Basket Recommendation system analyzes users' past interactions to provide
personalized recommendations. For a better understanding of the complex relations …

Position-category-aware attention network for next-item recommendation

L Qiu, M Dou, C Jing, Y Liu - Knowledge and Information Systems, 2024 - Springer
The next-item recommendation can extract critical information from the historical sequence
and predict the next actions of users. To better extract users' interests, some sequential …

An attribute-aware neural attentive model for next basket recommendation

T Bai, JY Nie, WX Zhao, Y Zhu, P Du… - The 41st International …, 2018 - dl.acm.org
Next basket recommendation is a new type of recommendation, which recommends a set of
items, or a basket, to the user. Purchase in basket is a common behavior of consumers …

GCRec: Graph-augmented capsule network for next-item recommendation

B Wu, X He, Q Zhang, M Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Next-item recommendation has been a hot research, which aims at predicting the next
action by modeling users' behavior sequences. While previous efforts toward this task have …

Modeling dynamic attributes for next basket recommendation

Y Chen, J Li, C Liu, C Li, M Anderle, J McAuley… - arXiv preprint arXiv …, 2021 - arxiv.org
Traditional approaches to next item and next basket recommendation typically extract users'
interests based on their past interactions and associated static contextual information (eg a …

M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation

B Peng, Z Ren, S Parthasarathy… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Next-basket recommendation considers the problem of recommending a set of items into the
next basket that users will purchase as a whole. In this paper, we develop a novel mixed …

Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation

Y Zhou, H Chu, Q Li, J Li, S Zhang, F Zhu, J Hu… - Neural Networks, 2025 - Elsevier
Next basket recommendation (NBR) is an essential task within the realm of recommendation
systems and is dedicated to the anticipation of user preferences in the next moment based …

Next basket recommendation based on graph attention network and transformer

T Liu, B Liu - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
To solve the problem that when using recurrent neural network will forget the previously
learned basket information and cannot reflect the user's real purchase intention. A next …