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Session-based Recommendations with Recurrent Neural Networks

Session-based Recommendations with Recurrent Neural Networks

21 November 2015
Balázs Hidasi
Alexandros Karatzoglou
L. Baltrunas
D. Tikk
ArXivPDFHTML

Papers citing "Session-based Recommendations with Recurrent Neural Networks"

44 / 44 papers shown
Title
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
Haoran Xin
Ying Sun
Chao Wang
Weijia Zhang
Hui Xiong
42
0
0
26 May 2025
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
Bowen Zheng
Xiaolei Wang
Enze Liu
Xi Wang
Lu Hongyu
Yu Chen
Wayne Xin Zhao
Ji-Rong Wen
51
0
0
22 May 2025
Flow Matching based Sequential Recommender Model
Flow Matching based Sequential Recommender Model
Feng Liu
Lixin Zou
Xiangyu Zhao
Min Tang
Liming Dong
Dan Luo
Xiangyang Luo
Chenliang Li
DiffM
38
0
0
22 May 2025
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
Ahmad Bin Rabiah
Julian McAuley
AI4TS
40
0
0
15 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
127
0
0
30 Apr 2025
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Zhikai Wang
Yanyan Shen
Zexi Zhang
Li He
Yichun Li
Hao Gu
Yinghua Zhang
77
0
0
27 Apr 2025
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
Guoqing Hu
An Zhang
Shuo Liu
Zhibo Cai
Xun Yang
Xiang Wang
80
1
0
27 Apr 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Haoyang Li
Hanwen Du
You Li
Junchen Fu
Chunxiao Li
Ziyi Zhuang
Jiakang Li
Yongxin Ni
AI4TS
68
0
0
19 Apr 2025
Slow Thinking for Sequential Recommendation
Slow Thinking for Sequential Recommendation
Junjie Zhang
Beichen Zhang
Wenqi Sun
Hongyu Lu
Wayne Xin Zhao
Yu Chen
Ji-Rong Wen
OffRL
LRM
56
1
0
13 Apr 2025
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems
Anirudhan Badrinath
Prabhat Agarwal
Laksh Bhasin
Jaewon Yang
Jiajing Xu
Charles R. Rosenberg
LRM
79
0
0
09 Apr 2025
Unified Generative Search and Recommendation
Unified Generative Search and Recommendation
Teng Shi
Jun Xu
Xiao Zhang
Xiaoxue Zang
Kai Zheng
Yang Song
Enyun Yu
78
1
0
08 Apr 2025
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Bowen Zheng
Enze Liu
Zhongfu Chen
Zhongrui Ma
Yue Wang
Wayne Xin Zhao
Ji-Rong Wen
94
0
0
06 Apr 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
Tong Zhang
60
0
0
06 Apr 2025
Universal Item Tokenization for Transferable Generative Recommendation
Universal Item Tokenization for Transferable Generative Recommendation
Bowen Zheng
Hongyu Lu
Yu Chen
Wayne Xin Zhao
Ji-Rong Wen
86
0
0
06 Apr 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Jiakai Tang
Sunhao Dai
Teng Shi
Jun Xu
X. Chen
Wen Chen
Wu Jian
Yuning Jiang
LRM
114
8
0
28 Mar 2025
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
Kowei Shih
Yi Han
Li Tan
56
0
0
23 Mar 2025
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
Jinyu Zhang
Chao Li
Zhongying Zhao
108
0
0
21 Feb 2025
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
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
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
Zuoli Tang
Zhaoxin Huan
Zihao Li
Xiaolu Zhang
Jun Hu
Chilin Fu
Jun Zhou
Lixin Zou
Chenliang Li
100
18
0
20 Feb 2025
SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
Wei Xiao
Huiying Wang
Qifeng Zhou
134
0
0
12 Feb 2025
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
Haohao Qu
Yifeng Zhang
Liangbo Ning
Wenqi Fan
Qing Li
Mamba
147
7
0
17 Jan 2025
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Shuyuan Zhao
Wei Chen
Boyan Shi
Liyong Zhou
Shuohao Lin
Huaiyu Wan
136
0
0
21 Dec 2024
Intention Knowledge Graph Construction for User Intention Relation Modeling
Intention Knowledge Graph Construction for User Intention Relation Modeling
Jiaxin Bai
Zhaoxiang Wang
Junfei Cheng
Dan Yu
Zerui Huang
...
Xin Liu
Chen Luo
Yanming Zhu
Yinlin Zhu
Yangqiu Song
134
3
0
16 Dec 2024
GOT4Rec: Graph of Thoughts for Sequential Recommendation
GOT4Rec: Graph of Thoughts for Sequential Recommendation
Zewen Long
Liang Wang
Shu Wu
Qiang Liu
Liang Wang
123
1
0
22 Nov 2024
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Mingrui Liu
Sixiao Zhang
Cheng Long
61
0
0
03 Nov 2024
Preference Diffusion for Recommendation
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
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
71
5
0
16 Oct 2024
Item Cluster-aware Prompt Learning for Session-based Recommendation
Item Cluster-aware Prompt Learning for Session-based Recommendation
Wooseong Yang
Chen Wang
Zihe Song
Weizhi Zhang
Philip S. Yu
VLM
42
0
0
07 Oct 2024
Generative Recommender with End-to-End Learnable Item Tokenization
Generative Recommender with End-to-End Learnable Item Tokenization
Enze Liu
Bowen Zheng
Cheng Ling
Lantao Hu
Han Li
Wayne Xin Zhao
46
2
0
09 Sep 2024
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Elisabeth Fischer
Albin Zehe
Andreas Hotho
Daniel Schlor
HAI
86
0
0
28 Aug 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
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
83
10
0
19 Aug 2024
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
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
76
0
0
18 Aug 2024
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
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
64
3
0
15 Aug 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
Timo Wilm
Philipp Normann
Felix Stepprath
80
2
0
23 Jul 2024
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
Danial Ebrat
Luis Rueda
Luis Rueda
70
3
0
22 May 2024
RDRec: Rationale Distillation for LLM-based Recommendation
RDRec: Rationale Distillation for LLM-based Recommendation
Xinfeng Wang
Jin Cui
Yoshimi Suzuki
Fumiyo Fukumoto
LRM
63
13
0
17 May 2024
Positional encoding is not the same as context: A study on positional encoding for sequential recommendation
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
62
2
0
16 May 2024
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELM
LRM
96
4
0
02 Feb 2024
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Hao Zhang
Mingyue Cheng
Qi Liu
Ziqiang Liu
AI4TS
91
3
0
01 Nov 2023
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
Timo Wilm
Philipp Normann
Sophie Baumeister
Paul-Vincent Kobow
66
12
0
27 Jul 2023
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
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
Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
SSL
OffRL
88
200
0
10 Jun 2020
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
159
6,760
0
03 Sep 2014
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