Papers citing 'Recurrent Neural Networks with Top-k Gains for Session-based Recommendations'

Title
Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts Qiushi Pan Hao Wang Guoyuan An Luankang Zhang Wei Guo Yong Liu 12 0 0 29 Oct 2025
Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation Yimeng Bai Chang Liu Y. Zhang D. Wang Frank Yang Andrew Rabinovich Wenge Rong Fuli Feng 41 0 0 24 Oct 2025
CausalRec: A CausalBoost Attention Model for Sequential Recommendation Yunbo Hou Tianle Yang Ruijie Li Li He Liang Wang Weiping Li Bo Zheng Guojie Song CML HAI 136 0 0 24 Oct 2025
Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems Fiza Hussain Anson Bastos Anjaly Parayil Ayush Choure Chetan Bansal Rujia Wang Saravan Rajmohan 24 0 0 23 Oct 2025
Evaluating LLM-Based Mobile App Recommendations: An Empirical Study Quim Motger Xavier Franch Vincenzo Gervasi Jordi Marco 32 0 0 21 Oct 2025
Adaptive Weighted Loss for Sequential Recommendations on Sparse Domains Akshay Mittal Vinay Venkatesh Krishna Kandi Shalini Sudarshan 81 0 0 05 Oct 2025
Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling X. Chen Yunmeng Shu Yuangang Pan Jinsong Lan Xiaoyong Zhu Shuai Xiao Haojin Zhu Ivor Tsang Bo Zheng AI4TS 28 0 0 30 Sep 2025
Curriculum Approximate Unlearning for Session-based Recommendation Liu Yang Zhaochun Ren Ziqi Zhao Pengjie Ren Zhumin Chen Xinyi Li Shuaiqiang Wang D. Yin Xin Xin MU 73 0 0 21 Aug 2025
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems Haibo Xing Hao Deng Yucheng Mao Jinxin Hu Y. Xu ... Jiahao Wang Shizhun Wang Yu Zhang Xiaoyi Zeng Jing-Xuan Zhang LRM 68 1 0 21 Aug 2025
Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation Shuo Zhang Xiao Li Jiayi Wu Fan Yang Xiang Li Ming-Xin Gao 54 0 0 27 Jul 2025
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation Chang Liu Yimeng Bai Xiaoyan Zhao Yang Zhang Fuli Feng Wenge Rong 179 3 0 18 Jun 2025
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation Jiang Zhang Sumit Kumar Wei Chang Yubo Wang Feng Zhang Weize Mao Hanchao Yu Aashu Singh Min Li Qifan Wang 140 0 0 06 Jun 2025
Heterogeneous Sequel-Aware Graph Neural Networks for Sequential Learning Anushka Tiwari Haimonti Dutta Shahrzad Khanizadeh 85 0 0 05 Jun 2025
Reinforced Latent Reasoning for LLM-based Recommendation Yang Zhang Wenxin Xu Xiaoyan Zhao Wenjie Wang Fuli Feng Xiangnan He Tat-Seng Chua OffRL LRM 127 16 0 25 May 2025
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 Xiaokun Zhang Bo Xu Chenliang Li Bowei He Hongfei Lin Chen Ma Fenglong Ma 160 4 0 18 May 2025
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation Jiacheng Li Yangtao Zhou Zhifu Zhao Qinglan Huang Jian Qi Xiao He Hua Chu Fu Li DiffM MedIm 175 1 0 12 May 2025
Linear Item-Item Model with Neural Knowledge for Session-based RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Minjin Choi Sunkyung Lee Seongmin Park Jongwuk Lee KELM 111 0 0 21 Apr 2025
Diffusion Generative Recommendation with Continuous Tokens Haohao Qu Shanru Lin Yujuan Ding Yiqi Wang Wenqi Fan DiffM 255 3 0 16 Apr 2025
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation Yuqi Sun Qiang Liu Haiping Zhu Feng Tian 205 0 0 16 Mar 2025
SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Ziqiang Cui Yunpeng Weng Xing Tang Xiaokun Zhang Dugang Liu ... Peiyang Liu Bowei He Weihong Luo Xiuqiang He Chen Ma AI4TS 236 0 0 06 Mar 2025
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationACM Transactions on Recommender Systems (TORS), 2025 Rong Shan Jiachen Zhu Jianghao Lin Chenxu Zhu Bo Chen Ruiming Tang Yong Yu Weinan Zhang 118 0 0 23 Jan 2025
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Chengkai Huang Shoujin Wang Xianzhi Wang Lina Yao 217 20 0 30 Oct 2024
Modeling Temporal Positive and Negative Excitation for Sequential RecommendationThe Web Conference (WWW), 2023 Chengkai Huang Shoujin Wang Xianzhi Wang Lina Yao 182 13 0 29 Oct 2024
Dual Conditional Diffusion Models for Sequential Recommendation Hongtao Huang Chengkai Huang Xiaojun Chang Wen Hu Lina Yao Julian McAuley Lina Yao DiffM 157 8 0 29 Oct 2024
Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models Arushi Prakash Dimitrios Bermperidis Srivas Chennu 87 1 0 08 Oct 2024
Item Cluster-aware Prompt Learning for Session-based Recommendation Wooseong Yang Chen Wang Zihe Song Weizhi Zhang Philip S. Yu VLM 123 0 0 07 Oct 2024
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications Dwipam Katariya Juan Manuel Origgi Yage Wang Thomas Caputo AI4TS 202 0 0 01 Oct 2024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item CatalogsACM Conference on Recommender Systems (RecSys), 2024 Gleb Mezentsev Danil I. Gusak Ivan Oseledets Evgeny Frolov 140 13 0 27 Sep 2024
Negative Sampling in Recommendation: A Survey and Future Directions Javier Yong Ruobing Xie Lei Meng Fuli Feng Xiaoyu Du Xingwu Sun Zhanhui Kang Xiangxu Meng 109 12 0 11 Sep 2024
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item PredictionACM Transactions on Recommender Systems (TRS), 2024 Elisabeth Fischer Albin Zehe Andreas Hotho Daniel Schlor HAI 317 0 0 28 Aug 2024
Graph and Sequential Neural Networks in Session-based Recommendation: A SurveyACM Computing Surveys (ACM CSUR), 2024 Zihao Li Chao Yang Yakun Chen Xianzhi Wang Hongxu Chen Guandong Xu Lina Yao Quan Z. Sheng GNN 146 17 0 27 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 247 0 0 18 Aug 2024
MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender Kwangwook Seo Soojin Yoon SeongKu Kang Jinyoung Yeo Dongha Lee RALM 169 5 0 16 Aug 2024
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce SearchInternational Conference on Information and Knowledge Management (CIKM), 2024 Enqiang Xu Xinhui Li Zhigong Zhou Jiahao Ji Jinyuan Zhao Dadong Miao Songlin Wang Lin Liu Sulong Xu 120 1 0 11 Aug 2024
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential RecommendersInternational Conference on Information and Knowledge Management (CIKM), 2024 Danil I. Gusak Gleb Mezentsev Ivan Oseledets Evgeny Frolov 181 7 0 05 Aug 2024
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024 Hyunsik Jeon Se-eun Yoon Julian McAuley 126 4 0 04 Aug 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 200 4 0 23 Jul 2024
Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching Beibei Li Beihong Jin Yisong Yu Yiyuan Zheng Jiageng Song Wei Zhuo Tao Xiang 63 1 0 20 Jul 2024
Learning Positional Attention for Sequential Recommendation Fan Luo Juan Zhang Shenghui Xu 99 2 0 03 Jul 2024
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation Tingjia Shen Hao Wang Jiaqing Zhang Zhengye Zhang Liangyue Li Zulong Chen Defu Lian Enhong Chen LRM 219 20 0 05 Jun 2024
Retrieval-Oriented Knowledge for Click-Through Rate Prediction Huanshuo Liu Bo Chen Menghui Zhu Jianghao Lin Jiarui Qin Yang Yang Hao Zhang Ruiming Tang 89 3 0 28 Apr 2024
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement Zeyu Hu Yuzhi Xiao Tao Huang Xuanrong Huo DRL 172 0 0 28 Apr 2024
A Survey of Reasoning for Substitution Relationships: Definitions, Methods, and Directions Anxin Yang Zhijuan Du Tao Sun 146 0 0 09 Apr 2024
Identifying Shopping Intent in Product QA for Proactive Recommendations B. Fetahu Nachshon Cohen Elad Haramaty L. Lewin-Eytan Oleg Rokhlenko S. Malmasi 104 0 0 09 Apr 2024
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) Yashar Deldjoo Zhankui He Julian McAuley Anton Korikov Scott Sanner Arnau Ramisa René Vidal M. Sathiamoorthy Atoosa Kasirzadeh Silvia Milano VLM 241 103 0 31 Mar 2024
A Simple Yet Effective Approach for Diversified Session-Based Recommendation Qing Yin Hui Fang Zhu Sun Yew-Soon Ong 111 1 0 30 Mar 2024
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation Ziyan Wang Yingpeng Du Zhu Sun Haoyan Chua Kaidong Feng Wenya Wang Jie Zhang LRM KELM 162 8 0 25 Mar 2024
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential RecommendationThe Web Conference (WWW), 2024 Shaowei Wei Zhengwei Wu Xin Li Qintong Wu Qing Cui Jun Zhou Lihong Gu Jinjie Gu 138 9 0 22 Mar 2024
USE: Dynamic User Modeling with Stateful Sequence Models Zhihan Zhou Qixiang Fang Leonardo Neves Francesco Barbieri Yozen Liu Han Liu Maarten W. Bos Ron Dotsch 138 1 0 20 Mar 2024
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System Irem Islek Ş. Öğüdücü 84 0 0 15 Mar 2024