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VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

6 October 2015
Ruining He
Julian McAuley
    BDL
ArXivPDFHTML

Papers citing "VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback"

50 / 163 papers shown
Title
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise
  Interpretability
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
Dikshant Sagar
Jatin Garg
Prarthana Kansal
Sejal Bhalla
R. Shah
Yi Yu
26
30
0
04 Aug 2020
CrowDEA: Multi-view Idea Prioritization with Crowds
CrowDEA: Multi-view Idea Prioritization with Crowds
Yukino Baba
Jiyi Li
H. Kashima
12
5
0
01 Aug 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and
  expressive embedding
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
Kang Liu
Feng Xue
Richang Hong
GNN
27
9
0
07 Jul 2020
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu
Zheng Qin
NoLa
26
49
0
28 Jun 2020
Graph Convolutional Network for Recommendation with Low-pass
  Collaborative Filters
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu
Zheng Qin
GNN
24
93
0
28 Jun 2020
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
Hu Liu
Jing Lu
Hao Yang
Xiwei Zhao
Sulong Xu
...
Zehua Zhang
Wenjie Niu
Xiaokun Zhu
Yongjun Bao
Weipeng P. Yan
24
32
0
18 Jun 2020
An efficient manifold density estimator for all recommendation systems
An efficient manifold density estimator for all recommendation systems
Jacek Dkabrowski
Barbara Rychalska
Michal Daniluk
Dominika Basaj
Konrad Gołuchowski
Piotr Babel
Andrzej Michalowski
Adam Jakubowski
14
19
0
02 Jun 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N
  Recommenders that Use Images to Address Cold Start
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu
Martha Larson
DiffM
28
27
0
02 Jun 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
11
101
0
25 May 2020
Joint Training Capsule Network for Cold Start Recommendation
Joint Training Capsule Network for Cold Start Recommendation
Tingting Liang
Congying Xia
Yuyu Yin
Philip S. Yu
12
20
0
23 May 2020
A survey on Adversarial Recommender Systems: from Attack/Defense
  strategies to Generative Adversarial Networks
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks
Yashar Deldjoo
Tommaso Di Noia
Felice Antonio Merra
AAML
22
6
0
20 May 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Manqing Dong
Feng Yuan
Lina Yao
Xianzhi Wang
Xiwei Xu
Liming Zhu
17
8
0
08 Apr 2020
Fashion Meets Computer Vision: A Survey
Fashion Meets Computer Vision: A Survey
Wen-Huang Cheng
Sijie Song
Chieh-Yun Chen
S. Hidayati
Jiaying Liu
AI4TS
45
96
0
31 Mar 2020
On the effectiveness of convolutional autoencoders on image-based
  personalized recommender systems
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems
E. Blanco-Mallo
Beatriz Remeseiro
V. Bolón-Canedo
Amparo Alonso-Betanzos
18
2
0
13 Mar 2020
Recommender Systems Based on Generative Adversarial Networks: A
  Problem-Driven Perspective
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective
Min Gao
Junwei Zhang
Junliang Yu
Jundong Li
Junhao Wen
Qingyu Xiong
20
61
0
05 Mar 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive
  Model Selection
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
40
48
0
22 Jan 2020
JSCN: Joint Spectral Convolutional Network for Cross Domain
  Recommendation
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Zhiwei Liu
Lei Zheng
Jiawei Zhang
Jiayu Han
Philip S. Yu
24
26
0
18 Oct 2019
Deep Collaborative Filtering with Multi-Aspect Information in
  Heterogeneous Networks
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
C. Shi
Xiaotian Han
Li Song
Tianlin Li
Senzhang Wang
Junping Du
Philip S. Yu
99
98
0
14 Sep 2019
Boosting the Rating Prediction with Click Data and Textual Contents
Boosting the Rating Prediction with Click Data and Textual Contents
ThaiBinh Nguyen
Atsuhiro Takasu
11
0
0
21 Aug 2019
Tripartite Vector Representations for Better Job Recommendation
Tripartite Vector Representations for Better Job Recommendation
Mengshu Liu
Jingya Wang
Kareem E. Abdelfatah
M. Korayem
28
13
0
23 Jul 2019
Neural Cross-Domain Collaborative Filtering with Shared Entities
Neural Cross-Domain Collaborative Filtering with Shared Entities
M. Vijaikumar
S. Shevade
M. Murty
FedML
24
7
0
19 Jul 2019
An Item Recommendation Approach by Fusing Images based on Neural
  Networks
An Item Recommendation Approach by Fusing Images based on Neural Networks
Wei-Yan Lin
Lin Li
21
1
0
04 Jul 2019
The Resale Price Prediction of Secondhand Jewelry Items Using a
  Multi-modal Deep Model with Iterative Co-Attention
The Resale Price Prediction of Secondhand Jewelry Items Using a Multi-modal Deep Model with Iterative Co-Attention
Yusuke Yamaura
Nobuya Kanemaki
Y. Tsuboshita
15
3
0
01 Jul 2019
Effects of Foraging in Personalized Content-based Image Recommendation
Effects of Foraging in Personalized Content-based Image Recommendation
Amit Kumar Jaiswal
Haiming Liu
Ingo Frommholz
23
3
0
30 Jun 2019
One Embedding To Do Them All
One Embedding To Do Them All
Loveperteek Singh
S. Singh
Sagar Arora
Sumit Borar
11
15
0
28 Jun 2019
Modeling Embedding Dimension Correlations via Convolutional Neural
  Collaborative Filtering
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
Xiaoyu Du
Xiangnan He
Fajie Yuan
Jinhui Tang
Zhiguang Qin
Tat-Seng Chua
HAI
6
26
0
26 Jun 2019
Collaborative Metric Learning with Memory Network for Multi-Relational
  Recommender Systems
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou
Danyang Liu
Jianxun Lian
Xing Xie
14
35
0
24 Jun 2019
$c^+$GAN: Complementary Fashion Item Recommendation
c+c^+c+GAN: Complementary Fashion Item Recommendation
Sudhir Kumar
Mithun Das Gupta
GAN
19
25
0
13 Jun 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
44
458
0
12 Jun 2019
Collaborative Translational Metric Learning
Collaborative Translational Metric Learning
Chanyoung Park
Donghyun Kim
Xing Xie
Hwanjo Yu
14
53
0
04 Jun 2019
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
34
2,914
0
20 May 2019
Spectrum-enhanced Pairwise Learning to Rank
Spectrum-enhanced Pairwise Learning to Rank
Wenhui Yu
Zheng Qin
16
17
0
02 May 2019
Personalized Neural Embeddings for Collaborative Filtering with Text
Personalized Neural Embeddings for Collaborative Filtering with Text
Guangneng Hu
18
7
0
19 Mar 2019
Recommender Systems Notation: Proposed Common Notation for Teaching and
  Research
Recommender Systems Notation: Proposed Common Notation for Teaching and Research
Michael D. Ekstrand
Joseph Konstan
6
5
0
04 Feb 2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain
  Collaborative Filtering with Text
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu
Yu Zhang
Qiang Yang
29
81
0
22 Jan 2019
DeepCF: A Unified Framework of Representation Learning and Matching
  Function Learning in Recommender System
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng
Ling Huang
Changdong Wang
Jianhuang Lai
Philip S. Yu
21
156
0
15 Jan 2019
Textually Guided Ranking Network for Attentional Image Retweet Modeling
Textually Guided Ranking Network for Attentional Image Retweet Modeling
Zhou Zhao
Hanbing Zhan
Lingtao Meng
Jun Xiao
Jun Yu
Min Yang
Fei Wu
Deng Cai
32
0
0
24 Oct 2018
Attribute-aware Collaborative Filtering: Survey and Classification
Attribute-aware Collaborative Filtering: Survey and Classification
Wen-Hao Chen
Chin-Chi Hsu
Yi-An Lai
Vincent Liu
Mi-Yen Yeh
Shou-De Lin
19
1
0
20 Oct 2018
Variational Collaborative Learning for User Probabilistic Representation
Variational Collaborative Learning for User Probabilistic Representation
Kenan Cui
Xu Chen
Jiangchao Yao
Ya Zhang
11
11
0
22 Sep 2018
Aesthetic-based Clothing Recommendation
Aesthetic-based Clothing Recommendation
Wenhui Yu
Huidi Zhang
Xiangnan He
Xu Chen
Li Xiong
Zheng Qin
16
194
0
16 Sep 2018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for
  Recommender Systems
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran
Yi Tay
Shuai Zhang
Gao Cong
Xiaoli Li
27
122
0
05 Sep 2018
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Felipe del-Rio
Pablo Messina
Vicente Dominguez
Denis Parra
22
5
0
25 Jul 2018
Play Duration based User-Entity Affinity Modeling in Spoken Dialog
  System
Play Duration based User-Entity Affinity Modeling in Spoken Dialog System
Bo Xiao
Nicholas Monath
Shankar Ananthakrishnan
Abishek Ravi
20
1
0
29 Jun 2018
Visually-Aware Personalized Recommendation using Interpretable Image
  Representations
Visually-Aware Personalized Recommendation using Interpretable Image Representations
Charles Packer
Julian McAuley
Arnau Ramisa
12
18
0
26 Jun 2018
Self-Attentive Neural Collaborative Filtering
Yi Tay
Shuai Zhang
Anh Tuan Luu
S. Hui
29
2
0
17 Jun 2018
A Sequential Embedding Approach for Item Recommendation with
  Heterogeneous Attributes
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes
Kuan Liu
Xing Shi
Premkumar Natarajan
DML
BDL
27
5
0
28 May 2018
Image Based Fashion Product Recommendation with Deep Learning
Image Based Fashion Product Recommendation with Deep Learning
Hessel Tuinhof
C. Pirker
Markus Haltmeier
VLM
3DH
28
65
0
06 May 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
33
401
0
18 Apr 2018
LCMR: Local and Centralized Memories for Collaborative Filtering with
  Unstructured Text
LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text
Guangneng Hu
Yu Zhang
Qiang Yang
9
4
0
17 Apr 2018
Neural Compatibility Modeling with Attentive Knowledge Distillation
Neural Compatibility Modeling with Attentive Knowledge Distillation
Xuemeng Song
Fuli Feng
Xianjing Han
Xin Yang
Wen Liu
Liqiang Nie
47
144
0
17 Apr 2018
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