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浏览/检索结果:
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Mining Latent Structures for Multimedia Recommendation
会议论文
Chengdu, China, 2021.10.20-2021.10.24
作者:
Zhang, Jinghao
;
Zhu, Yanqiao
;
Liu, Qiang
;
Wu, Shu
;
Wang, Shuhui
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/07
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:
Ding, Xinmiao
;
Li, Bing
;
Li, Yangxi
;
Guo, Wen
;
Liu, Yao
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  |  
浏览/下载:49/0
  |  
提交时间:2021/04/27
Feature extraction
Prototypes
Visualization
Support vector machines
Machine learning
Streaming media
Spectrogram
Representative prototype selection
objectionable video recognition
deep learning
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Wu, Di
;
Liu, Zhigang
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/05/17
Data models
Training
Sparse matrices
Recommender systems
Computational modeling
Big Data
Scalability
Non-negative latent factor analysis
non-negativity
latent factor analysis
unconstrained optimization
high-dimensional and sparse matrix
collaborative filtering
recommender system
big data
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 213, 页码: 13
作者:
Yang, Chao
;
Zhou, Weixin
;
Wang, Zhiyu
;
Jiang, Bin
;
Li, Dongsheng
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/12/01
Crowd intelligence
Explainable recommendation
Hierarchical attention
Review representation
Recommender system
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system
A hybrid recommendation system with many-objective evolutionary algorithm
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 卷号: 159, 页码: 10
作者:
Cai, Xingjuan
;
Hu, Zhaoming
;
Zhao, Peng
;
Zhang, WenSheng
;
Chen, Jinjun
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/01/06
Recommendation systems
Many-objective optimization
Hybrid recommender algorithm
Collaborative filtering
Bayesian dual neural networks for recommendation
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 6, 页码: 1255-1265
作者:
He, Jia
;
Zhuang, Fuzhen
;
Liu, Yanchi
;
He, Qing
;
Lin, Fen
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2019/12/10
collaborative filtering
Bayesian neural network
hybrid recommendation algorithm
Neural variational collaborative filtering with side information for top-K recommendation
期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3273-3284
作者:
Deng, Xiaoyi
;
Zhuang, Fuzhen
;
Zhu, Zhiguo
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  |  
浏览/下载:11/0
  |  
提交时间:2020/12/10
Neural collaborative filtering
Variational autoencoder
Top-K recommendation
Side information
Implicit feedback
Elastic-net regularized latent factor analysis-based models for recommender systems
期刊论文
NEUROCOMPUTING, 2019, 卷号: 329, 页码: 66-74
作者:
Wang, Dexian
;
Chen, Yanbin
;
Guo, Junxiao
;
Shi, Xiaoyu
;
He, Chunlin
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/01/17
Big data
Recommender systems
Collaborative filtering
Latent factor analysis
Elastic-net
Regularization
Latent factor distribution
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198
作者:
Wang, Qingxian
;
Peng, Binbin
;
Shi, Xiaoyu
;
Shang, Tianqi
;
Shang, Mingsheng
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2019/06/24
Recommender systems
collaborative filtering
rating prediction
denoising autoencoders
multi layered perceptron
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