Augmenting Sequential Recommendation with Pseudo-Prior Items via
Reversely Pre-training Transformer

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

2 May 2021

Philip S. Yu

Papers citing "Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer"

7 / 7 papers shown

Title
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction Chen Wang Fangxin Wang Ruocheng Guo Yueqing Liang Philip S. Yu 200 4 0 21 Feb 2025
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 35 4 0 12 Dec 2020
Composed Variational Natural Language Generation for Few-shot Intents Congying Xia Caiming Xiong Philip Yu R. Socher VLM DRL 42 31 0 21 Sep 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization Kun Zhou Haibo Wang Wayne Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang Ji-Rong Wen 80 804 0 18 Aug 2020
Self-supervised Learning for Large-scale Item Recommendations Tiansheng Yao Xinyang Yi D. Cheng Felix X. Yu Ting-Li Chen ... Lichan Hong Ed H. Chi S. Tjoa Jieqi Kang Evan Ettinger SSL 29 48 0 25 Jul 2020
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations Huanrui Luo Ning Yang Philip S. Yu 26 5 0 18 Jan 2020
From Zero-Shot Learning to Cold-Start Recommendation Jingjing Li Mengmeng Jing Ke Lu Lei Zhu Yang Yang Zi Huang 28 148 0 20 Jun 2019