Self-Attentive Sequential Recommendation

20 August 2018

Papers citing "Self-Attentive Sequential Recommendation"

28 / 78 papers shown

Title
Large Language Models Empowered Personalized Web Agents Hongru Cai Yongqi Li Wenjie Wang Fengbin Zhu Xiaoyu Shen Wenjie Li Tat-Seng Chua LLMAG 94 12 0 22 Oct 2024
Preference Diffusion for Recommendation Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 83 1 0 17 Oct 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations Luyi Ma Xiaohan Li Zezhong Fan Kai Zhao Jianpeng Xu Praveen Kanumala Kaushiki Nag Sushant Kumar Sushant Kumar Kannan Achan 64 5 0 16 Oct 2024
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus Bangchao Deng Xin Jing Tianyue Yang Bingqing Qu Dingqi Yang Philippe Cudre-Mauroux 51 0 0 20 Sep 2024
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems Zehua Wang Min Gao Junliang Yu Xinyi Gao Quoc Viet Hung Nguyen S. Sadiq Hongzhi Yin AAML 71 2 0 18 Sep 2024
Leveraging LLMs for Influence Path Planning in Proactive Recommendation Mingze Wang Shuxian Bi Wenjie Wang Chongming Gao Yangyang Li Fuli Feng 44 0 0 07 Sep 2024
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction Elisabeth Fischer Albin Zehe Andreas Hotho Daniel Schlor HAI 77 0 0 28 Aug 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation Xiaoyu Kong Jiancan Wu An Zhang Leheng Sheng Hui Lin Xiang Wang Xiangnan He AI4TS 81 10 0 19 Aug 2024
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation Yuyang Ye Zhi Zheng Yishan Shen Tianshu Wang Hengruo Zhang Peijun Zhu Runlong Yu Kai Zhang Hui Xiong 64 10 0 19 Aug 2024
ELASTIC: Efficient Linear Attention for Sequential Interest Compression Jiaxin Deng Shiyao Wang Song Lu Yinfeng Li Xinchen Luo Yuanjun Liu Peixing Xu Guorui Zhou 72 0 0 18 Aug 2024
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation Changshuo Zhang Teng Shi Xiao Zhang Qi Liu Ruobing Xie Jun Xu Ji-Rong Wen 61 3 0 15 Aug 2024
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning Sejoon Oh Moumita Bhattacharya Yesu Feng Sudarshan Lamkhede 64 1 0 25 Jul 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 78 2 0 23 Jul 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems Yi Zhang Ruihong Qiu Jiajun Liu Sen Wang OffRL 56 0 0 18 Jul 2024
RDRec: Rationale Distillation for LLM-based Recommendation Xinfeng Wang Jin Cui Yoshimi Suzuki Fumiyo Fukumoto LRM 61 12 0 17 May 2024
Positional encoding is not the same as context: A study on positional encoding for sequential recommendation Alejo López-Ávila Jinhua Du Abbas Shimary Ze Li 59 2 0 16 May 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark Coates CLL 60 1 0 06 Mar 2024
Improving Sequential Recommendations with LLMs Artun Boz Wouter Zorgdrager Zoe Kotti Jesse Harte Panos Louridas Dietmar Jannach Vassilios Karakoidas Marios Fragkoulis KELM LRM 91 4 0 02 Feb 2024
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems Hao Zhang Mingyue Cheng Qi Liu Ziqiang Liu AI4TS 84 3 0 01 Nov 2023
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions Timo Wilm Philipp Normann Sophie Baumeister Paul-Vincent Kobow 57 12 0 27 Jul 2023
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 80 797 0 18 Aug 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 63 16 0 10 Jun 2020
Self-Supervised Reinforcement Learning for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose SSL OffRL 82 200 0 10 Jun 2020
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Fei Wu Tat-Seng Chua 55 915 0 15 Aug 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 219 10,412 0 21 Jul 2016
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 268 10,034 0 10 Feb 2015
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 67 107 0 21 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 221 15,825 0 12 Nov 2013