English | 繁體

Search in the results

UM

Browse/Search Results:  1-8 of 8 Help

Selected(0)Clear Items/Page:    Sort:
Diffusion Recommendation with Implicit Sequence Influence Conference paper
Niu, Yong, Xing, Xing, Jia, Zhichun, Liu, Ruidi, Xin, Mindong, Cui, Jianfu. Diffusion Recommendation with Implicit Sequence Influence[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 1719-1725.
Authors:  Niu, Yong;  Xing, Xing;  Jia, Zhichun;  Liu, Ruidi;  Xin, Mindong; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/06/05
Diffusion Model  Implicit Influence  Recommender System  
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations Journal article
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu. A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations[J]. IEEE Transactions on Industrial Informatics, 2022, 19(2), 2049-2061.
Authors:  Mingsheng Fu;  Liwei Huang;  Ananya Rao;  Athirai A. Irissappane;  Jie Zhang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:11.7/11.4 | Submit date：2023/02/22
Deep Reinforcement Learning (Drl)  Multitask Markov Decision Process (Mdp)  Recommender System  
DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating Journal article
Linhao Luo, Xiaofeng Zhang, Xiaoyun Chen, Kai Liu, Dan Peng, Xiaofei Yang. DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating[J]. Neural Computing and Applications, 2022, 34(8), 6413-6425.
Authors:  Linhao Luo;  Xiaofeng Zhang;  Xiaoyun Chen;  Kai Liu;  Dan Peng; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.5/4.7 | Submit date：2022/05/04
Graph Embedding  Online Dating  Reciprocal Recommendation  Recommender System  
GCNNIRec: Graph Convolutional Networks with Neighbor Complex Interactions for Recommendation Conference paper
Mei, Teng, Sun, Tianhao, Chen, Renqin, Zhou, Mingliang, U, Leong Hou. GCNNIRec: Graph Convolutional Networks with Neighbor Complex Interactions for Recommendation[C]. U L.H., Spaniol M., Sakurai Y., Chen J., BERLIN, GERMANY:Springer Science and Business Media Deutschland GmbH, 2021, 338-347.
Authors:  Mei, Teng;  Sun, Tianhao;  Chen, Renqin;  Zhou, Mingliang;  U, Leong Hou
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2022/05/13
Recommender System  Graph Neural Networks  Neighbor Interactions  
TrustRank: A Cold-Start tolerant recommender system Journal article
Haitao Zou, Zhiguo Gong, Nan Zhang, Wei Zhao, Jingzhi Guo. TrustRank: A Cold-Start tolerant recommender system[J]. Enterprise Information Systems, 2013, 9(2), 117-138.
Authors:  Haitao Zou;  Zhiguo Gong;  Nan Zhang;  Wei Zhao;  Jingzhi Guo
Favorite | TC[WOS]:14 TC[Scopus]:18  IF:4.4/4.1 | Submit date：2019/02/12
Cold-start  Recommender System  Trust  Trustrank  
Research on personalized recommendation case organization Conference paper
Sun J., Zhu Z., Wang Y.. Research on personalized recommendation case organization[C], 2010, 312-315.
Authors:  Sun J.;  Zhu Z.;  Wang Y.
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2019/01/16
Case Organization  Case-based Reasoning  Multiple Case-base  Personal Recommender System  
An Automated University Admission Recommender System for Secondary School Students Conference paper
Simon Fong, Robert P. Biuk-Aghai. An Automated University Admission Recommender System for Secondary School Students[C], 2009, 37-42.
Authors:  Simon Fong;  Robert P. Biuk-Aghai
Favorite |  | Submit date：2019/02/13
Classification  Decision Tree  Neural Network  Recommender System  University Admission  
Design of a Recommender System for Mobile Tourism Multimedia Selection Conference paper
Robert P. Biuk-Aghai, Simon Fong, Yain-Whar Si. Design of a Recommender System for Mobile Tourism Multimedia Selection[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2008.
Authors:  Robert P. Biuk-Aghai;  Simon Fong;  Yain-Whar Si
Favorite | TC[WOS]:18 TC[Scopus]:39 | Submit date：2019/02/13
Fuzzy Logic  Genetic Algorithm  Multimedia  Recommender System  Tourist Application