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Image-based Recommendations on Styles and Substitutes

Image-based Recommendations on Styles and Substitutes

15 June 2015
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
ArXiv (abs)PDFHTML

Papers citing "Image-based Recommendations on Styles and Substitutes"

50 / 432 papers shown
Title
Learning to Ask: Conversational Product Search via Representation
  Learning
Learning to Ask: Conversational Product Search via Representation Learning
Jie Zou
Jimmy Xiangji Huang
Zhaochun Ren
Evangelos Kanoulas
155
14
0
18 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
117
0
0
03 Nov 2024
Coherence-guided Preference Disentanglement for Cross-domain Recommendations
Coherence-guided Preference Disentanglement for Cross-domain Recommendations
Zongyi Xiang
Yan Zhang
Lixin Duan
Hongzhi Yin
Ivor W. Tsang
40
1
0
27 Oct 2024
Multi-Field Adaptive Retrieval
Multi-Field Adaptive Retrieval
Millicent Li
Tongfei Chen
Benjamin Van Durme
Patrick Xia
465
1
0
26 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
133
6
0
21 Oct 2024
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
Yu Xia
Junda Wu
Sungchul Kim
Tong Yu
Ryan A. Rossi
Haoliang Wang
Julian McAuley
105
4
0
17 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
Hanwen Du
Bo Peng
Xia Ning
125
0
0
12 Oct 2024
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset
  for Large Language Models
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang
Peng Liu
Marcus Tiedemann Oekland Henriksboe
Even W. Lauvrak
J. Gulla
Heri Ramampiaro
92
1
0
04 Oct 2024
Long-Sequence Recommendation Models Need Decoupled Embeddings
Long-Sequence Recommendation Models Need Decoupled Embeddings
Ningya Feng
Junwei Pan
Jialong Wu
Baixu Chen
Ximei Wang
Qian Li
Xian Hu
Jie Jiang
Mingsheng Long
AI4TS
153
3
0
03 Oct 2024
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna
Sergio Calvo-Ordoñez
Felix L. Opolka
Pietro Liò
Jose Miguel Hernandez-Lobato
BDL
134
2
0
28 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
104
12
0
19 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
241
0
0
13 Aug 2024
Calibration-Disentangled Learning and Relevance-Prioritized Reranking
  for Calibrated Sequential Recommendation
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
Hyunsik Jeon
Se-eun Yoon
Julian McAuley
77
1
0
04 Aug 2024
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for
  Continual Graph Learning
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning
Jinhui Pang
Changqing Lin
Xiaoshuai Hao
Rong Yin
Zixuan Wang
Zhihui Zhang
Jinglin He
Huang Tai Sheng
98
4
0
28 Jul 2024
Modality-Balanced Learning for Multimedia Recommendation
Modality-Balanced Learning for Multimedia Recommendation
Jinghao Zhang
Guofan Liu
Qiang Liu
Shu Wu
Liang Wang
60
6
0
26 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
240
0
0
16 Jul 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs
UniGLM: Training One Unified Language Model for Text-Attributed Graphs
Yi Fang
Dongzhe Fan
Sirui Ding
Ninghao Liu
Qiaoyu Tan
VLM
132
5
0
17 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs
Linear Opinion Pooling for Uncertainty Quantification on Graphs
C. Damke
Eyke Hüllermeier
122
1
0
06 Jun 2024
Item-Language Model for Conversational Recommendation
Item-Language Model for Conversational Recommendation
Li Yang
Anushya Subbiah
Hardik Patel
Judith Yue Li
Yanwei Song
Reza Mirghaderi
Vikram Aggarwal
Qifan Wang
KELM
94
5
0
05 Jun 2024
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
Yuqi Zhou
Sunhao Dai
Liang Pang
Gang Wang
Zhenhua Dong
Jun Xu
Jirong Wen
120
8
0
28 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song
Jianguo Huang
Wenyu Jiang
Baoming Zhang
Shuangjie Li
Chongjun Wang
108
3
0
23 May 2024
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation
Se-eun Yoon
Hyunsik Jeon
Julian McAuley
114
0
0
23 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
160
11
0
02 May 2024
RecGPT: Generative Personalized Prompts for Sequential Recommendation
  via ChatGPT Training Paradigm
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
Yabin Zhang
Wenhui Yu
Erhan Zhang
Xu Chen
Lantao Hu
Peng Jiang
Kun Gai
LRM
91
10
0
06 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its
  Countermeasures
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
Ruiqi Zheng
Liang Qu
Tong Chen
Kai Zheng
Yuhui Shi
Hongzhi Yin
78
8
0
01 Apr 2024
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain
  Recommendation
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
Li Wang
Lei Sang
Quangui Zhang
Qiang Wu
Min Xu
93
6
0
06 Mar 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
M. Behmanesh
M. Ovsjanikov
125
0
0
23 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
151
0
0
23 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
66
1
0
14 Feb 2024
Prototypical Contrastive Learning through Alignment and Uniformity for
  Recommendation
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
Yangxun Ou
Lei Chen
Fenglin Pan
Yupeng Wu
49
1
0
03 Feb 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
End-to-end Learnable Clustering for Intent Learning in Recommendation
Yue Liu
Shihao Zhu
Jun Xia
Yingwei Ma
Jian Ma
Wenliang Zhong
Xinwang Liu
Guannan Zhang
Kejun Zhang
116
11
0
11 Jan 2024
An FPGA-Based Accelerator for Graph Embedding using Sequential Training
  Algorithm
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
Kazuki Sunaga
Keisuke Sugiura
Hiroki Matsutani
GNN
66
0
0
23 Dec 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained
  Models for Graph Domain Transfer Learning
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
Yun Zhu
Yaoke Wang
Haizhou Shi
Zhenshuo Zhang
Dian Jiao
Siliang Tang
AI4CE
131
28
0
11 Oct 2023
Class Label-aware Graph Anomaly Detection
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
50
11
0
22 Aug 2023
MM-GEF: Multi-modal representation meet collaborative filtering
MM-GEF: Multi-modal representation meet collaborative filtering
Hao Wu
Alejandro Ariza-Casabona
Bartlomiej Twardowski
Tri Kurniawan Wijaya
49
2
0
14 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for
  Explainable Collaborative Filtering
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Lei Pan
V. Soo
96
0
0
14 Aug 2023
Automated Polynomial Filter Learning for Graph Neural Networks
Automated Polynomial Filter Learning for Graph Neural Networks
Wendi Yu
Zhichao Hou
Xiaorui Liu
90
0
0
16 Jul 2023
Investigating Cross-Domain Behaviors of BERT in Review Understanding
Investigating Cross-Domain Behaviors of BERT in Review Understanding
Albert Lu
Meng Jiang
39
0
0
27 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data
  Augmentation
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou
Xiao Shi Huang
Ninghao Liu
Huachi Zhou
F. Chung
Longhai Huang
146
26
0
18 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Minglei Yin
Bin Liu
Neil Zhenqiang Gong
Xin Li
AAML
62
1
0
11 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and
  Benchmarks for Complex Graphs
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Zehui Li
Xiangyu Zhao
Mingzhu Shen
Guy-Bart Stan
Pietro Lio
Yiren Zhao
60
1
0
08 Jun 2023
Absformer: Transformer-based Model for Unsupervised Multi-Document
  Abstractive Summarization
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization
M. Trabelsi
H. Uzunalioglu
81
2
0
07 Jun 2023
Clarify Confused Nodes via Separated Learning
Clarify Confused Nodes via Separated Learning
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
201
3
0
04 Jun 2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed
  Data
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data
Youlong Ding
Xueyang Wu
Hongya Wang
Weike Pan
109
1
0
28 May 2023
HyperFormer: Learning Expressive Sparse Feature Representations via
  Hypergraph Transformer
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
Kaize Ding
Albert Jiongqian Liang
Bryan Perrozi
Ting-Li Chen
Ruoxi Wang
Lichan Hong
Ed H. Chi
Huan Liu
D. Cheng
70
14
0
27 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
94
7
0
26 May 2023
A Simple and Effective Framework for Strict Zero-Shot Hierarchical
  Classification
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
R. Bhambhoria
Lei Chen
Xiao-Dan Zhu
84
4
0
24 May 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset
  Selection for Language Model
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Xiao Wang
Wei Zhou
Qi Zhang
Jie Zhou
Songyang Gao
Junzhe Wang
Menghan Zhang
Xiang Gao
Yunwen Chen
Tao Gui
129
10
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22 May 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation
  in NLP with an Instantiation in Authorship Attribution
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
Neeraj Varshney
Himanshu Gupta
Eric Robertson
Bin Liu
Chitta Baral
70
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MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential
  Recommendation
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation
Kibum Kim
Dongmin Hyun
Sukwon Yun
Chanyoung Park
94
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