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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 75 occurrences of 61 keywords
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Results
Found 572 publication records. Showing 548 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 8 | Parshin Shojaee, Xiaoyu Chen, Ran Jin |
Adaptively Weighted Top-N Recommendation for Organ Matching.  |
CoRR  |
2021 |
DBLP BibTeX RDF |
|
| 8 | Clément Vignac, Pascal Frossard |
Top-N: Equivariant set and graph generation without exchangeability. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 8 | Dixian Zhu, Tianbao Yang |
A Unified DRO View of Multi-class Loss Functions with top-N Consistency. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 8 | Vojtech Vancura, Pavel Kordík |
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 8 | Hui Wang 0072, Kun Zhou 0002, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen |
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 8 | Zhengqiang Ge, Xinyu Liu 0025, Qiang Li 0008, Yu Li, Dong Guo 0002 |
PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation. |
Int. J. Distributed Sens. Networks |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhibin Hu, Jiachun Wang, Yan Yan, Peilin Zhao, Jian Chen 0011, Jin Huang 0003 |
Neural graph personalized ranking for Top-N Recommendation. |
Knowl. Based Syst. |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Mingming Yang, Songhua Xu |
A novel deep quantile matrix completion model for top-N recommendation. |
Knowl. Based Syst. |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Youngjune Lee, Kee-Eung Kim |
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. |
CIKM |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen 0017, Xiuqiang He 0001, Jun Wang 0012 |
Top-N Recommendation with Counterfactual User Preference Simulation. |
CIKM |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci |
How to put users in control of their data in federated top-N recommendation with learning to rank. |
SAC |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhuoran Liu 0001, Martha A. Larson |
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. |
WWW |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Liang Zhu, Xinfeng Li, Yonggang Wei, Qin Ma 0006, Weiyi Meng |
Integrating Real-Time Entity Resolution with Top-N Join Query Processing. |
KSEM |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Nan Mu, Daren Zha |
First-order and High-order Information Fusion over Heterogeneous Information Network for Top-N Recommendation System. |
CSCWD |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Nan Mu, Daren Zha, Rui Gong |
Gated Knowledge Graph Neural Networks for Top-N Recommendation System. |
CSCWD |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Lin Bai, Chengye Cai, Jie Liu, Dan Ye |
Meta-graph Embedding in Heterogeneous Information Network for Top-N Recommendation. |
IJCNN |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Lianjie Long, Yunfei Yin, Faliang Huang |
Graph-Aware Collaborative Filtering for Top-N Recommendation. |
IJCNN |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhichao Xu, Hansi Zeng, Qingyao Ai |
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. |
ICTIR |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Vojtech Vancura, Pavel Kordík |
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). |
ICANN (5) |
2021 |
DBLP DOI BibTeX RDF |
|
| 8 | Liang Feng, Qianchuan Zhao, Cangqi Zhou |
Improving performances of Top-N recommendations with co-clustering method. |
Expert Syst. Appl. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Jian Xu 0001, Xiaoyi Fu, Yiming Wu 0001, Ming Luo 0007, Ming Xu 0001, Ning Zheng 0001 |
Personalized top-n influential community search over large social networks. |
World Wide Web |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen |
A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering. |
Int. J. Pattern Recognit. Artif. Intell. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor |
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. |
IEEE Access |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Qian Wang, Qingmei Zhou, Wei Zhao 0023, Xuangou Wu, Xun Shao |
Top-N Recommendation Using Low-Rank Matrix Completion and Spectral Clustering. |
IEICE Trans. Commun. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells |
Assessing ranking metrics in top-N recommendation. |
Inf. Retr. J. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Yi-Fan Chen 0003, Yang Wang 0023, Xiang Zhao 0002, Hongzhi Yin, Ilya Markov, Maarten de Rijke |
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. |
ACM Trans. Inf. Syst. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Yifan Chen 0003, Yang Wang 0023, Xiang Zhao 0002, Jie Zou, Maarten de Rijke |
Block-Aware Item Similarity Models for Top-N Recommendation. |
ACM Trans. Inf. Syst. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Ruoran Huang, Nian Wang, Chuanqi Han, Fang Yu 0004, Li Cui |
TNAM: A tag-aware neural attention model for Top-N recommendation. |
Neurocomputing |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhuoran Liu 0001, Martha A. Larson |
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 8 | Wayne Xin Zhao, Junhua Chen, Pengfei Wang 0009, Qi Gu, Ji-Rong Wen |
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 8 | Zhuoyi Lin, Lei Feng 0006, Rui Yin 0002, Chi Xu, Chee-Keong Kwoh 0001 |
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 8 | Mirko Polato, Tommaso Carraro, Fabio Aiolli |
Conditioned Variational Autoencoder for top-N item recommendation. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 8 | Minghong Fang, Neil Zhenqiang Gong, Jia Liu 0002 |
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 8 | Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin |
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 8 | Sharon Moses J, L. D. Dhinesh Babu |
Genetic Algorithm Influenced Top-N Recommender System to Alleviate New User Cold Start Problem. |
Int. J. Swarm Intell. Res. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Bo Yang 0011, Jing Chen, Zhongfeng Kang, Dongsheng Li 0002 |
Memory-aware gated factorization machine for top-N recommendation. |
Knowl. Based Syst. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Fang Liu, Yanwei Yu, Peng Song 0002, Yangyang Fan, Xiangrong Tong |
Scalable KDE-based top-n local outlier detection over large-scale data streams. |
Knowl. Based Syst. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Yiteng Pan, Fazhi He, Haiping Yu |
A correlative denoising autoencoder to model social influence for top-N recommender system. |
Frontiers Comput. Sci. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Wei Dai, Qing Zhang, Weike Pan, Zhong Ming 0001 |
Transfer to Rank for Top-N Recommendation. |
IEEE Trans. Big Data |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Yuntao Liu, Yong Dou, Peng Qiao |
Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification. |
IET Comput. Vis. |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty |
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. |
ECML/PKDD (3) |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Wayne Xin Zhao, Junhua Chen, Pengfei Wang 0009, Qi Gu, Ji-Rong Wen |
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. |
CIKM |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Tao Wang, Xiaoyu Shi, Mingsheng Shang 0001 |
Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way. |
Big Data (CCF) |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Jian Li, Zhuoming Xu, Yan Tang, Bo Zhao, Haimei Tian |
Deep Hybrid Knowledge Graph Embedding for Top-N Recommendation. |
WISA |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Rong-Qin Xu, Ming-Yang Zhou 0001, Hao Liao |
RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems. |
WWW (Companion Volume) |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Minghong Fang, Neil Zhenqiang Gong, Jia Liu 0002 |
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. |
WWW |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro |
Shallow Neural Models for Top-N Recommendation. |
ECAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim |
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. |
DASFAA (3) |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor |
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. |
RecSys |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin |
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. |
RecSys |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Idir Benouaret, Sihem Amer-Yahia |
A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. |
IEEE BigData |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Bo Pang, Han Bao 0007, Chongjun Wang |
Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. |
ICTAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Jarana Manotumruksa, Emine Yilmaz |
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation. |
SIGIR |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Ramazan Esmeli, Mohamed Bader-El-Den, Hassana Abdullahi |
Session Similarity based Approach for Alleviating Cold-start Session Problem in e-Commerce for Top-N Recommendations. |
KDIR |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty |
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. |
PAKDD (1) |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Yaxiong Wu 0001, Craig Macdonald, Iadh Ounis |
A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. |
ICTIR |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Ilya Shenbin, Anton Alekseev 0001, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko |
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. |
WSDM |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Hafsa Kabir Ahmad, Zhenqiang Wu, Bello Ahmad Muhammad |
A Conceptual Framework for Top- N Recommendation Using Attributed Bipartite Graph Embedding. |
NaNA |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li 0001 |
Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile. |
ICONIP (2) |
2020 |
DBLP DOI BibTeX RDF |
|
| 8 | Ke-Jia Chen 0001, Hui Zhang 0047 |
Exploiting Transfer Learning With Attention for In-Domain Top-N Recommendation. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Zeshan Aslam Khan, Syed Zubair, Kashif Imran, Rehan Ahmad, Sharjeel Abid Butt, Naveed Ishtiaq Chaudhary |
A New Users Rating-Trend Based Collaborative Denoising Auto-Encoder for Top-N Recommender Systems. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Xingkai Wang, Yiqiang Sheng, Haojiang Deng, Zhenyu Zhao |
Top-N-Targets-Balanced Recommendation Based on Attentional Sequence-to-Sequence Learning. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu 0020 |
Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Ming He 0001, Qian Meng, Shaozong Zhang |
Collaborative Additional Variational Autoencoder for Top-N Recommender Systems. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Junmei Lv, Bin Song 0001, Jie Guo 0008, Xiaojiang Du, Mohsen Guizani |
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhenyu Zhao, Ming Zhu, Yiqiang Sheng, Jinlin Wang 0001 |
A Top-N-Balanced Sequential Recommendation Based on Recurrent Network. |
IEICE Trans. Inf. Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Xuefeng Zhang 0006, Xiuli Chen, Dewen Seng, Xujian Fang |
A Factored Similarity Model with Trust and Social Influence for Top-N Recommendation. |
Int. J. Comput. Commun. Control |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Dewen Seng, Jiaxin Liu, Xuefeng Zhang 0006, Jing Chen 0010, Xujian Fang |
Top-N Recommendation Based on Mutual Trust and Influence. |
Int. J. Comput. Commun. Control |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, John D. Garofalakis |
EigenRec: generalizing PureSVD for effective and efficient top-N recommendations. |
Knowl. Inf. Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic |
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines. |
ACM Trans. Inf. Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Feng Xue, Xiangnan He 0001, Xiang Wang 0010, Jiandong Xu, Kai Liu, Richang Hong |
Deep Item-based Collaborative Filtering for Top-N Recommendation. |
ACM Trans. Inf. Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Menglong Yang, Feihu Huang, Xuebin Lv |
A feature learning approach for face recognition with robustness to noisy label based on top-N prediction. |
Neurocomputing |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Yiteng Pan, Fazhi He, Haiping Yu |
A novel Enhanced Collaborative Autoencoder with knowledge distillation for top-N recommender systems. |
Neurocomputing |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhiyi Tan 0003, Ya Zhang 0002 |
Predicting the Top-N Popular Videos via a Cross-Domain Hybrid Model. |
IEEE Trans. Multim. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Mohit Sharma 0002, Jiayu Zhou, Junling Hu, George Karypis |
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 8 | Jae-woong Lee, Minjin Choi 0001, Jongwuk Lee, Hyunjung Shim |
Collaborative Distillation for Top-N Recommendation. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 8 | Wang-Cheng Kang, Julian J. McAuley |
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 8 | Ilya Shenbin, Anton Alekseev 0001, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko |
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 8 | Armel Jacques Nzekon Nzeko'o, Maurice Tchuenté, Matthieu Latapy |
A general graph-based framework for top-N recommendation using content, temporal and trust information. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 8 | Junmei Lv, Bin Song 0001, Jie Guo 0008, Xiaojiang Du, Mohsen Guizani |
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 8 | Felipe L. A. Conceiç ao, Flávio L. C. Pádua, Anísio Lacerda, Adriano César Machado Pereira, Daniel Hasan Dalip |
Multimodal data fusion framework based on autoencoders for top-N recommender systems. |
Appl. Intell. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Dong-Kyu Chae, Sang-Wook Kim, Jung-Tae Lee |
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. |
Knowl. Based Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Wenkai Ma, Gui Li, Zhengyu Li 0001, Ziyang Han, Keyan Cao |
一种基于标签的Top-N个性化推荐算法 (Top-N Personalized Recommendation Algorithm Based on Tag). |
计算机科学 |
2019 |
DBLP BibTeX RDF |
|
| 8 | Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty |
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. |
ECML/PKDD (1) |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Nengjun Zhu, Jian Cao 0001 |
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback. |
WISE |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Wang-Cheng Kang, Julian John McAuley |
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. |
CIKM |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Jae-woong Lee, Minjin Choi 0001, Jongwuk Lee, Hyunjung Shim |
Collaborative Distillation for Top-N Recommendation. |
ICDM |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Yifan Chen 0003, Xiang Zhao 0002, Jinyuan Liu, Bin Ge, Weiming Zhang |
Learning to Select User-Specific Features for Top-N Recommendation of New Items. |
ICDE Workshops |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Dimitris Sacharidis |
Top-N group recommendations with fairness. |
SAC |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Wei Xu, Zhuoming Xu, Bo Zhao |
A Graph Kernel Based Item Similarity Measure for Top-N Recommendation. |
WISA |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Nguyen Thi Minh, Yi-Hung Wu |
Integrating Meta-Path Similarity with User Preference for Top-N Recommendation. |
TAAI |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Wei Chen 0105, Liang Chang 0003, Chenzhong Bin, Tianlong Gu, Zhonghao Jia |
Jointing Knowledge Graph and Neural Network for Top-N Recommendation. |
PRICAI (1) |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Ming Zhu 0004, De-sheng Zhen, Ran Tao 0005, You-Qun Shi, Xiang Yang Feng, Qian Wang |
Top-N Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph Embedding. |
KMO |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Ming He 0001, Kaisheng Yao, Peng Yang, Yuan Yao |
Tag2Vec: Tag Embedding for Top-N Recommendation. |
ICNC-FSKD |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu 0001 |
Reinforcement Learning to Diversify Top-N Recommendation. |
DASFAA (2) |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis |
Personalized diffusions for top-n recommendation. |
RecSys |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhuoyi Lin, Lei Feng 0006, Chee-Keong Kwoh 0001, Chi Xu |
Fast Top-N Personalized Recommendation on Item Graph. |
IEEE BigData |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta |
Local Popularity and Time in top-N Recommendation. |
ECIR (1) |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Md. Enamul Haque, S. M. Zobaed, Mehmet Engin Tozal, Vijay Raghavan 0001 |
Divergence Based Non-Negative Matrix Factorization for top-N Recommendations. |
HICSS |
2019 |
DBLP BibTeX RDF |
|
| 8 | Lei Zheng 0001, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang 0001, Philip S. Yu |
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. |
SIGIR |
2019 |
DBLP DOI BibTeX RDF |
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