A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation

30 April 2025

Papers citing "A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation"

24 / 24 papers shown

Title
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 188 2 0 29 Apr 2025
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning A. Cheraghian Shafin Rahman Pengfei Fang S. Roy L. Petersson Mehrtash Harandi CLL 144 186 0 06 Mar 2021
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 69 31 0 04 Sep 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation Fei Mi Xiao Lin Boi Faltings CLL 86 53 0 23 Jul 2020
Controllable Multi-Interest Framework for Recommendation Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang Jie Tang 86 274 0 19 May 2020
Memory Augmented Neural Model for Incremental Session-based Recommendation Fei Mi Boi Faltings CLL 64 24 0 28 Apr 2020
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 118 1,264 0 30 May 2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall Chong Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Pipei Huang Huan Zhao Guoliang Kang Qiwei Chen Wei Li Lee 66 386 0 17 Apr 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou Peng Jiang BDL HAI 208 2,207 0 14 Apr 2019
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding Jiaxi Tang Ke Wang BDL 87 1,721 0 19 Sep 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 138 1,070 0 11 Sep 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 293 2,912 0 21 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov CLL 125 281 0 08 Feb 2018
Learning Tree-based Deep Model for Recommender Systems Ziru Xu Xiang Li Pengye Zhang Guozheng Li Jie He Han Li Kun Gai 142 293 0 08 Jan 2018
Measuring Catastrophic Forgetting in Neural Networks Ronald Kemker Marc McClure Angelina Abitino Tyler L. Hayes Christopher Kanan CLL 133 728 0 07 Aug 2017
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 105 664 0 18 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 460 4,461 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 101 2,468 0 15 Jun 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 163 2,079 0 04 Feb 2016
Session-based Recommendations with Recurrent Neural Networks Balázs Hidasi Alexandros Karatzoglou L. Baltrunas D. Tikk 102 2,116 0 21 Nov 2015
Net2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen Ian Goodfellow Jonathon Shlens 233 673 0 18 Nov 2015
Image-based Recommendations on Styles and Substitutes Julian McAuley C. Targett Javen Qinfeng Shi Anton Van Den Hengel 146 2,429 0 15 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 369 19,822 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.5K 150,696 0 22 Dec 2014