Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

11 June 2019

Papers citing "Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation"

8 / 8 papers shown

Title
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective Xiaokun Zhang Bo Xu Chenliang Li Bowei He Hongfei Lin Chen Ma Fenglong Ma 2 0 0 18 May 2025
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation Yizhou Dang Enneng Yang G. Guo Linying Jiang Xingwei Wang Xiaoxiao Xu Qinghui Sun Hong Liu AI4TS 24 47 0 16 Dec 2022
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 33 24 0 15 Oct 2022
Implicit Session Contexts for Next-Item Recommendations Sejoon Oh Ankur Bhardwaj Jongseok Han Sungchul Kim Ryan A. Rossi Srijan Kumar CML 36 9 0 18 Aug 2022
Unsupervised Proxy Selection for Session-based Recommender Systems Junsu Cho SeongKu Kang Dongmin Hyun Hwanjo Yu 14 21 0 08 Jul 2021
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation Junsu Cho Dongmin Hyun SeongKu Kang Hwanjo Yu 28 29 0 29 Apr 2021
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking Jiachun Wang Fajie Yuan Jian Chen Qingyao Wu Min Yang Yang Sun Guoxiao Zhang BDL 40 26 0 14 Dec 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015