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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
ArXivPDFHTML

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

50 / 734 papers shown
Title
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies
Piotr Piękos
Subhradeep Kayal
Alexandros Karatzoglou
25
0
0
18 May 2025
Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With An LLM
Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With An LLM
Wenqing Zheng
Noah Fatsi
Daniel Barcklow
Dmitri Kalaev
Steven Yao
Owen Reinert
C. Bayan Bruss
Daniele Rosa
17
0
0
16 May 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
Xuefeng Jiang
Jia Li
Nannan Wu
Z. F. Wu
Xujing Li
Sheng Sun
Gang Xu
Yansen Wang
Qi Li
Min Liu
FedML
64
3
0
10 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Zhiyuan Ning
Meng Xiao
Ziyue Qiao
Pengyang Wang
Yuanchun Zhou
264
0
0
08 May 2025
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
Le Pan
Yuanjiang Cao
Chengkai Huang
Wenjie Zhang
L. Yao
CML
52
0
0
06 May 2025
Robustness questions the interpretability of graph neural networks: what to do?
Robustness questions the interpretability of graph neural networks: what to do?
Kirill Lukyanov
Georgii Sazonov
Serafim Boyarsky
Ilya Makarov
AAML
256
0
0
05 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
40
0
0
30 Apr 2025
AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search
AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search
Mario Villaizán-Vallelado
Matteo Salvatori
Kayhan Latifzadeh
Antonio Penta
Luis A. Leiva
Ioannis Arapakis
34
0
0
30 Apr 2025
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
Guy Hadad
Haggai Roitman
Yotam Eshel
Bracha Shapira
Lior Rokach
BDL
VLM
LRM
52
0
0
29 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
Xuben Wang
34
0
0
27 Apr 2025
FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model
FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model
Kaicheng Pang
Xingxing Zou
W. Wong
34
0
0
24 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Xu Guo
Tong Zhang
Fuyun Wang
Xudong Wang
Xuzhi Zhang
Xin Liu
Zhen Cui
40
0
0
23 Apr 2025
Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa
Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa
Yoichi Takenaka
32
0
0
22 Apr 2025
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Van Thuy Hoang
Hyeon-Ju Jeon
O-Joun Lee
34
0
0
21 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
Yongbin Li
Junchen Fu
Chunxiao Li
Ziyi Zhuang
Jiakang Li
Yongxin Ni
AI4TS
31
0
0
19 Apr 2025
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
Kaiyuan Li
Rui Xiang
Yong Bai
Yongxiang Tang
Yanhua Cheng
Xialong Liu
Peng Jiang
Kun Gai
31
1
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
49
1
0
08 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Zongyue Qin
Shichang Zhang
Mingxuan Ju
Tong Zhao
Neil Shah
Yizhou Sun
31
0
0
08 Apr 2025
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
Jinfeng Xu
Zheyu Chen
Wei Wang
Xiping Hu
Sang-Wook Kim
Edith C. H. Ngai
51
1
0
06 Apr 2025
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
Zheyu Chen
Jinfeng Xu
Yutong Wei
Ziyue Peng
29
1
0
06 Apr 2025
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
Hyunsik Jeon
Satoshi Koide
Yu Wang
Zhankui He
Julian McAuley
VLM
54
0
0
30 Mar 2025
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Wei Wang
Yujie Lin
Jianli Zhao
Hao Fei
Pengjie Ren
Xianye Ben
Heng Chang
AI4TS
86
0
0
26 Mar 2025
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations
Edoardo Bianchi
53
0
0
25 Mar 2025
Adjusted Count Quantification Learning on Graphs
C. Damke
Eyke Hüllermeier
42
0
0
13 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Jongwon Park
Heesoo Jung
Hogun Park
59
1
0
10 Mar 2025
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedML
OOD
94
3
0
06 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su
Wei Jiang
Fangquan Lin
Cheng Yang
S. Erfani
Junhao Gan
Yunxiang Zhao
Ruixuan Li
Rui-Xun Zhang
CML
79
0
0
05 Mar 2025
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yue Yang
Zhi Ji
Zhiyu Li
Yongqian Li
Zhonglin Mo
...
Kai Chen
Zijian Zhang
Jie Li
Shuanglong Li
L. Liu
85
3
0
04 Mar 2025
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions
Jia Chen
Qian Dong
Haitao Li
Xiaohui He
Yan Gao
...
Ping Yang
Chen Xu
Yao Hu
Qingyao Ai
Yixiao Liu
47
0
0
01 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
53
0
0
01 Mar 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies
Training Robust Graph Neural Networks by Modeling Noise Dependencies
Yeonjun In
Kanghoon Yoon
Sukwon Yun
Kibum Kim
Sungchul Kim
Chanyoung Park
OOD
NoLa
89
0
0
27 Feb 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
Li Ju
Xingyi Yang
Qi Li
Xinchao Wang
59
0
0
26 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning
Graph Neural Diffusion Networks for Semi-supervised Learning
Wei Ye
Zexi Huang
Yunqi Hong
Ambuj K. Singh
GNN
84
3
0
24 Feb 2025
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
Minjie Hong
Yan Xia
Junyao Xing
Jieming Zhu
Ye Wang
...
Xiaoda Yang
Quanyu Dai
Zhenhua Dong
Zhimeng Zhang
Zhou Zhao
60
2
0
21 Feb 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
92
2
0
20 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen
Zhiming Li
Hua Mao
Wai Lok Woo
Xi Peng
88
0
0
20 Feb 2025
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
Ryoma Sato
82
0
0
18 Feb 2025
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
Songpei Xu
Shijia Wang
Da Guo
Xianwen Guo
Qiang Xiao
Fangjian Li
Chuanjiang Luo
86
0
0
17 Feb 2025
A Survey on LLM-powered Agents for Recommender Systems
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng
Hongtao Liu
Hua Huang
Qing Yang
Minglai Shao
LLMAG
LRM
93
3
0
14 Feb 2025
COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles
COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles
Dongliang Zhou
Haijun Zhang
Qun Li
Jianghong Ma
Xiaofei Xu
113
27
0
12 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
64
0
0
12 Feb 2025
Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation
Longtao Xiao
Yining Qi
Cheng Wang
Linfei Ji
Yuanbo Wang
Jieming Zhu
Zhenhua Dong
Rui-Xun Zhang
Ruixuan Li
98
0
0
10 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
212
2
0
09 Feb 2025
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
Hang Zhou
Yucheng Wang
Huijing Zhan
50
0
0
08 Feb 2025
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework
Dongliang Zhou
Haijun Zhang
Kai-Bo Yang
Linlin Liu
Han Yan
Xiaofei Xu
Zhao Zhang
Shuicheng Yan
83
15
0
05 Feb 2025
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing
Dongliang Zhou
Haijun Zhang
Jianghong Ma
Jianyang Shi
123
3
0
03 Feb 2025
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching
Xuelong Li
Zhiyu Zoey Chen
J. Choi
Nikhita Vedula
B. Fetahu
Oleg Rokhlenko
S. Malmasi
88
2
0
03 Feb 2025
Resolving Oversmoothing with Opinion Dissensus
Resolving Oversmoothing with Opinion Dissensus
Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
62
1
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31 Jan 2025
Knowledge Graph Enhanced Language Agents for Recommendation
Knowledge Graph Enhanced Language Agents for Recommendation
Taicheng Guo
Chaochun Liu
Hai Wang
Varun Mannam
Fang Wang
Xin Chen
Xiangliang Zhang
Chandan K. Reddy
57
2
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28 Jan 2025
Generating Negative Samples for Multi-Modal Recommendation
Generating Negative Samples for Multi-Modal Recommendation
Yanbiao Ji
Yue Ding
Dan Luo
Chang Liu
Jing Tong
Shaokai Wu
Hongtao Lu
39
2
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25 Jan 2025
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