Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering

4 February 2016

Papers citing "Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering"

35 / 35 papers shown

Title
Learning Item Representations Directly from Multimodal Features for Effective Recommendation Xin Zhou Xiaoxiong Zhang Dusit Niyato Zhiqi Shen 109 0 0 08 May 2025
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems Le Pan Yuanjiang Cao Chengkai Huang Wenjie Zhang L. Yao CML 102 0 0 06 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation Zhikai Wang Yanyan Shen AI4TS 197 0 0 30 Apr 2025
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models Yashar Deldjoo Nikhil Mehta M. Sathiamoorthy Shuai Zhang Pablo Castells Julian McAuley EGVM ELM 126 2 0 09 Apr 2025
Unified Generative Search and Recommendation Teng Shi Jun Xu Xiao Zhang Xiaoxue Zang Kai Zheng Yang Song Enyun Yu 118 2 0 08 Apr 2025
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation Hyunsik Jeon Satoshi Koide Yu Wang Zhankui He Julian McAuley VLM 162 0 0 30 Mar 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 273 4 0 20 Feb 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Haoyang Li 83 2 0 20 Feb 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations Junxuan Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 132 4 0 18 Feb 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs Jiaxing Wu Lin Ning Luyang Liu Harrison Lee Neo Wu Chao Wang Sushant Prakash S. O’Banion Bradley Green Jun Xie 183 1 0 20 Jan 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 205 3 0 17 Jan 2025
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment Chaoqi Wang Zhuokai Zhao Yibo Jiang Zhaorun Chen Chen Zhu ... Jiayi Liu Lizhu Zhang Xiangjun Fan Hao Ma Sinong Wang 138 5 0 16 Jan 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Dong Hyun Jeon Wenbo Sun Haoze Song Dongfang Liu Velasquez Alvaro Yixin Xie Shuteng Niu 103 1 0 07 Jan 2025
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 139 0 0 07 Nov 2024
Multi-Field Adaptive Retrieval Millicent Li Tongfei Chen Benjamin Van Durme Patrick Xia 431 1 0 26 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 80 4 0 17 Oct 2024
Preference Diffusion for Recommendation Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 142 1 0 17 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du Bo Peng Xia Ning 89 0 0 12 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 134 3 0 03 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 105 5 0 30 Sep 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 100 11 0 19 Aug 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 135 1 0 25 Jun 2024
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation Se-eun Yoon Hyunsik Jeon Julian McAuley 80 0 0 23 May 2024
Improving Sequential Recommendations with LLMs Artun Boz Wouter Zorgdrager Zoe Kotti Jesse Harte Panos Louridas Dietmar Jannach Vassilios Karakoidas Marios Fragkoulis KELM LRM 146 4 0 02 Feb 2024
Review-guided Helpful Answer Identification in E-commerce Wenxuan Zhang Wai Lam Yang Deng Jing Ma 96 20 0 13 Mar 2020
Fashion Forward: Forecasting Visual Style in Fashion Ziad Al-Halah Rainer Stiefelhagen Kristen Grauman AI4TS 69 163 0 18 May 2017
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback Ruining He Julian McAuley BDL 98 906 0 06 Oct 2015
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences Andreas Veit Balazs Kovacs Sean Bell Julian McAuley Kavita Bala Serge J. Belongie 69 308 0 24 Sep 2015
Image-based Recommendations on Styles and Substitutes Julian McAuley C. Targett Javen Qinfeng Shi Anton Van Den Hengel 128 2,413 0 15 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 280 14,715 0 20 Jun 2014
Large Scale Visual Recommendations From Street Fashion Images Vignesh Jagadeesh Robinson Piramuthu Anurag Bhardwaj Wei Di Neel Sundaresan AI4TS 3DV 71 139 0 08 Jan 2014
Recognizing Image Style Sergey Karayev Matthew Trentacoste Helen Han A. Agarwala Trevor Darrell Aaron Hertzmann Holger Winnemoeller 89 459 0 15 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 193 4,951 0 06 Oct 2013
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 160 5,739 0 09 May 2012