Image-based Recommendations on Styles and Substitutes

15 June 2015

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

50 / 734 papers shown

Title
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation Qingtian Bian Marcus Vinícius de Carvalho Tieying Li Jiaxing Xu Hui Fang Yiping Ke 53 0 0 25 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 107 0 0 22 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 61 0 0 08 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 40 1 0 08 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Yangqiu Song Jingrui He 62 6 0 31 Dec 2024
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 78 42 0 31 Dec 2024
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Gyeongmin Gu Minseo Jeon Hyun-Je Song Jinhong Jung 33 0 0 25 Dec 2024
Scaling Sequential Recommendation Models with Transformers Pablo Zivic Hernán Ceferino Vázquez Jorge Sanchez OffRL LRM 84 1 0 10 Dec 2024
A Theory for Compressibility of Graph Transformers for Transductive Learning Hamed Shirzad Honghao Lin A. Velingker B. Venkatachalam David P. Woodruff Danica J. Sutherland 88 2 0 20 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 77 0 0 20 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 83 0 0 19 Nov 2024
Learning to Ask: Conversational Product Search via Representation Learning Jie Zou Jimmy Xiangji Huang Zhaochun Ren Evangelos Kanoulas 114 12 0 18 Nov 2024
Overhead-free User-side Recommender Systems Ryoma Sato 47 1 0 12 Nov 2024
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation Mingrui Liu Sixiao Zhang Cheng Long 43 0 0 03 Nov 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng Chong Chen Can Wang 64 2 0 31 Oct 2024
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation Chengkai Huang Shoujin Wang Xianzhi Wang Lina Yao 80 7 0 30 Oct 2024
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation Chengkai Huang Shoujin Wang Xianzhi Wang Lina Yao 69 7 0 29 Oct 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks Yuntian He Pranav Maneriker Anutam Srinivasan Aditya T. Vadlamani Srinivasan Parthasarathy 40 0 0 28 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han Huzefa Rangwala Yue Ning BDL OOD CML 47 0 0 27 Oct 2024
Multi-Field Adaptive Retrieval Millicent Li Tongfei Chen Benjamin Van Durme Patrick Xia 235 1 0 26 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 68 6 0 21 Oct 2024
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction Han Xu Taoxing Pan Zhiqiang Liu Xiaoxiao Xu Lantao Hu 31 0 0 19 Oct 2024
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 42 4 0 17 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 38 0 0 15 Oct 2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations Antonio Purificato Fabrizio Silvestri 33 3 0 12 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du B. Peng Xia Ning 38 0 0 12 Oct 2024
Intent-Enhanced Data Augmentation for Sequential Recommendation Shuai Chen Zhoujun Li 31 0 0 11 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 40 0 0 10 Oct 2024
Faithful Interpretation for Graph Neural Networks Lijie Hu Tianhao Huang Lu Yu Wanyu Lin Tianhang Zheng Di Wang 38 1 0 09 Oct 2024
TCGU: Data-centric Graph Unlearning based on Transferable Condensation Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin MU 38 2 0 09 Oct 2024
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 31 1 0 04 Oct 2024
Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models Gunjan Balde Soumyadeep Roy Mainack Mondal Niloy Ganguly 19 1 0 04 Oct 2024
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 45 3 0 03 Oct 2024
Large Language Model Empowered Embedding Generator for Sequential Recommendation Qidong Liu Xian Wu Wanyu Wang Yejing Wang Yuanshao Zhu Xiangyu Zhao Feng Tian Yefeng Zheng 39 5 0 30 Sep 2024
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation Zhaoqi Yang Yanan Wang Yong Ge VLM TTA 32 1 0 27 Sep 2024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs Gleb Mezentsev Danil I. Gusak Ivan Oseledets Evgeny Frolov 36 2 0 27 Sep 2024
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs Pranav Maneriker Aditya T. Vadlamani Anutam Srinivasan Yuntian He Ali Payani Srinivasan Parthasarathy 36 0 0 26 Sep 2024
Boolean Product Graph Neural Networks Ziyan Wang Bin Liu Ling Xiang 53 0 0 21 Sep 2024
Guided Profile Generation Improves Personalization with LLMs Jiarui Zhang 46 4 0 19 Sep 2024
Measuring Recency Bias In Sequential Recommendation Systems Jeonglyul Oh Sungzoon Cho 36 0 0 15 Sep 2024
Multi-intent Aware Contrastive Learning for Sequential Recommendation Junshu Huang Zi Long Xianghua Fu Yin Chen HAI 28 0 0 13 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 50 0 0 06 Sep 2024
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning Haoran Yang Xiangyu Zhao Sirui Huang Qing Li Guandong Xu 57 4 0 02 Sep 2024
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators Will Orr Kate Crawford 56 3 0 30 Aug 2024
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models Wenjia Xie Rui Zhou Hao Wang Tingjia Shen Enhong Chen DiffM 48 9 0 30 Aug 2024
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 44 2 0 28 Aug 2024
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations Anton Klenitskiy Anna Volodkevich Anton Pembek Alexey Vasilev 28 7 0 21 Aug 2024
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation Yuting Liu Jinghao Zhang Yizhou Dang Yuliang Liang Qiang Liu Guibing Guo Jianzhe Zhao Xingwei Wang 31 2 0 20 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 47 9 0 19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 71 3 0 17 Aug 2024