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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 | Feng Yuan, Lina Yao 0001, Boualem Benatallah |
Adversarial Collaborative Auto-encoder for Top-N Recommendation.  |
IJCNN  |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Bo Pang, Min Yang, Chongjun Wang |
A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. |
PAKDD (2) |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Jin Yi, Jiajin Huang, Jin Qin, Yuan Luo |
Joint Heterogeneous Pair-wise Loss For Top-N Recommendation. |
WI |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Athanasios N. Nikolakopoulos, George Karypis |
RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. |
WSDM |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Can Wang 0004, Zhonghao Sun, Yunwei Zhao, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Bela Stantic |
Top-N Hashtag Prediction via Coupling Social Influence and Homophily. |
ADMA |
2019 |
DBLP DOI BibTeX RDF |
|
| 8 | Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant G. Honavar |
A user similarity-based Top-N recommendation approach for mobile in-application advertising. |
Expert Syst. Appl. |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Junqiang Liu, Xingxing Zhang, Benjamin C. M. Fung, Jiuyong Li, Farkhund Iqbal |
Opportunistic mining of top-n high utility patterns. |
Inf. Sci. |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Wang Zhou 0001, Jianping Li 0002, Malu Zhang, Yazhou Wang, Fadia Shah |
Deep Learning Modeling for Top-N Recommendation With Interests Exploring. |
IEEE Access |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Rong Wang, Tianlei Hu, Gang Chen 0001 |
Where Do Local Experts Go? Evaluating User Geo-Topical Similarity for Top-N Place Recommendation. |
J. Comput. Sci. Technol. |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Shulong Chen, Yuxing Peng 0001 |
A Semi-Supervised Model for Top-N Recommendation. |
Symmetry |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Mirko Polato, Fabio Aiolli |
Boolean kernels for collaborative filtering in top-N item recommendation. |
Neurocomputing |
2018 |
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. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone |
Time and Local Popularity in top-N Recommendation. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar |
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Jiaxi Tang, Ke Wang 0001 |
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Yifan Chen 0003, Maarten de Rijke |
A Collective Variational Autoencoder for Top-N Recommendation with Side Information. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Yingying Zhao, Dongsheng Li 0002, Qin Lv, Li Shang |
A Scalable Algorithm for Privacy-Preserving Item-based Top-N Recommendation. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Feng Yuan, Lina Yao 0001, Boualem Benatallah |
Adversarial Collaborative Auto-encoder for Top-N Recommendation. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Zainab Zolaktaf, Reza Babanezhad 0001, Rachel Pottinger |
A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and Coverage. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Lifang Ren, Wenjian Wang |
An SVM-based collaborative filtering approach for Top-N web services recommendation. |
Future Gener. Comput. Syst. |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Ying Tang, Kanggao Sun, Xujia Qin, Jianmei Zhou |
基于局部模型加权融合的Top-N电影推荐算法 (Local Model Weighted Ensemble for Top-N Movie Recommendation). |
计算机科学 |
2018 |
DBLP BibTeX RDF |
|
| 8 | Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang |
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. |
CIKM |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Yingpeng Du, Hongzhi Liu 0001, Zhonghai Wu, Xing Zhang 0002 |
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. |
ICDM |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Surya Kallumadi, Gabriel Necoechea |
Injecting Semantic Diversity in Top-N Recommender Systems Using Determinantal Point Processes and Curated Lists. |
UMAP (Adjunct Publication) |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Zainab Zolaktaf, Reza Babanezhad 0001, Rachel Pottinger |
A Generic Top-N Recommendation Framework for Trading-Off Accuracy, Novelty, and Coverage. |
ICDE |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Ludovik Coba, Panagiotis Symeonidis, Markus Zanker |
Replicating and Improving Top-N Recommendations in Open Source Packages. |
WIMS |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Pasquale Lops, Joseph Trotta |
Moving from Item Rating to Features Relevance in Top-N Recommendation. |
IIR |
2018 |
DBLP BibTeX RDF |
|
| 8 | Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu |
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. |
KDD |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Evangelia Christakopoulou, George Karypis |
Local Latent Space Models for Top-N Recommendation. |
KDD |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Xiangsheng Li, Yanghui Rao, Haoran Xie 0001, Yufu Chen, Raymond Y. K. Lau, Fu Lee Wang, Jian Yin 0001 |
Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top-N Recommender System. |
DASFAA (1) |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Ke Xu 0009, Yi Cai 0001, Huaqing Min, Jieyu Chen |
Top-N Trustee Recommendation with Binary User Trust Feedback. |
DASFAA Workshops |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Yifan Chen 0003, Maarten de Rijke |
A Collective Variational Autoencoder for Top-N Recommendation with Side Information. |
DLRS@RecSys |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells |
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. |
RecSys |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Lijie Guo |
Beyond the top-N: algorithms that generate recommendations for self-actualization. |
RecSys |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar |
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. |
IEEE BigData |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Dongsheng Li 0002, Changyu Miao, Stephen M. Chu, Jason Mallen, Tomomi Yoshioka, Pankaj Srivastava |
Stable Matrix Approximation for Top-N Recommendation on Implicit Feedback Data. |
HICSS |
2018 |
DBLP BibTeX RDF |
|
| 8 | Jiaxi Tang, Ke Wang 0001 |
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. |
WSDM |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhuoming Xu, Chengwang Mao, Xiuli Wang, Wei Xu, Lifeng Ye |
Improving Network-Based Top-N Recommendation with Background Knowledge from Linked Open Data. |
APWeb/WAIM Workshops |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Jian Xu 0001, Xiaoyi Fu, Liming Tu, Ming Luo 0007, Ming Xu 0001, Ning Zheng 0001 |
Personalized Top-n Influential Community Search over Large Social Networks. |
APWeb/WAIM (1) |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Zengmao Wang, Yuhong Guo, Bo Du 0001 |
Matrix completion with Preference Ranking for Top-N Recommendation. |
IJCAI |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang 0007, Xiaojun Chen 0006 |
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. |
IJCAI |
2018 |
DBLP DOI BibTeX RDF |
|
| 8 | Özge Yücel Kasap |
A polynomial modeling based algorithm in top-N recommendation (İlk-N tavsiye sisteminde polinom modelleme tabanlı algoritma) |
|
2018 |
RDF |
|
| 8 | |
Top-N Queries. |
Encyclopedia of GIS |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Özge Yücel Kasap, M. Alper Tunga |
A polynomial modeling based algorithm in top-N recommendation. |
Expert Syst. Appl. |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Mirko Polato, Fabio Aiolli |
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. |
Neurocomputing |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Guangyuan Piao, John G. Breslin |
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations. |
CoRR |
2017 |
DBLP BibTeX RDF |
|
| 8 | Yiteng Pan, Fazhi He, Haiping Yu |
Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder. |
CoRR |
2017 |
DBLP BibTeX RDF |
|
| 8 | Laming Chen, Guoxin Zhang, Hanning Zhou |
Improving the Diversity of Top-N Recommendation via Determinantal Point Process. |
CoRR |
2017 |
DBLP BibTeX RDF |
|
| 8 | |
Leveraging High-Dimensional Side Information for Top-N Recommendation. |
CoRR |
2017 |
DBLP BibTeX RDF |
|
| 8 | Jinlong Huang, Qingsheng Zhu, Lijun Yang, Dongdong Cheng, Quanwang Wu |
A novel outlier cluster detection algorithm without top-n parameter. |
Knowl. Based Syst. |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Guibing Guo, Jie Zhang 0002, Feida Zhu 0001, Xingwei Wang 0001 |
Factored similarity models with social trust for top-N item recommendation. |
Knowl. Based Syst. |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Guangyuan Piao, John G. Breslin |
Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations. |
WISE (2) |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Yuheng Wang, Xiang Zhao 0002, Yifan Chen 0003, Wenjie Zhang 0001, Weidong Xiao |
Local Top-N Recommendation via Refined Item-User Bi-Clustering. |
WISE (2) |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Yongfeng Zhang, Qingyao Ai, Xu Chen 0017, W. Bruce Croft |
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. |
CIKM |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen 0008, Haitao Yu 0003, Weinan Zhang 0001 |
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. |
IUI |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Arpit Merchant, Navjyoti Singh |
Hybrid Trust-Aware Model for Personalized Top-N Recommendation. |
CODS |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Thomas Wever, Flavius Frasincar |
A linked open data schema-driven approach for Top-N recommendations. |
SAC |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Qian Zhao, Gediminas Adomavicius, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan |
Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. |
CSCW |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Mirko Polato, Fabio Aiolli |
Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation. |
IIR |
2017 |
DBLP BibTeX RDF |
|
| 8 | Nengjun Zhu, Jian Cao 0001 |
GTRM: A Top-N Recommendation Model for Smartphone Applications. |
ICWS |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Yizhou Yan, Lei Cao 0004, Elke A. Rundensteiner |
Scalable Top-n Local Outlier Detection. |
KDD |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Charlie Wang, Arpita Agrawal, Xiaojun Li, Tanima Makkad, Ejaz Veljee, Ole J. Mengshoel, Alvin Jude |
Content-based top-N recommendations with perceived similarity. |
SMC |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Jinjiao Lin, Haitao Pu, Yibin Li 0001, Jian Lian |
Sparse Linear Method Based Top-N Course Recommendation System with Expert Knowledge and L 0 Regularization. |
HCC |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Eugenio Di Sciascio |
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. |
RecSysKTL |
2017 |
DBLP BibTeX RDF |
|
| 8 | Enrico Palumbo, Giuseppe Rizzo 0002, Raphaël Troncy |
entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation. |
RecSys |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Yizhou Yan, Lei Cao 0004, Elke A. Rundensteiner |
Distributed Top-N local outlier detection in big data. |
IEEE BigData |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Litian Yin, Dong Wang 0024, Xin Xin 0003, Yue Ding 0001 |
SoGeM: Social Based Generative Model for Top-N Recommendation. |
ICTAI |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Jiajin Huang, Jian Wang, Ning Zhong 0001 |
A Poisson Regression Method for Top-N Recommendation. |
SIGIR |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Daniel Valcarce, Javier Parapar, Álvaro Barreiro |
Combining Top-N Recommenders with Metasearch Algorithms. |
SIGIR |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Yifan Chen 0003, Xiang Zhao 0002, Maarten de Rijke |
Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. |
SIGIR |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhao Kang 0001, Chong Peng, Ming Yang 0024, Qiang Cheng |
Exploiting Nonlinear Relationships for Top-N Recommender Systems. |
ICBK |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, John D. Garofalakis |
Factored Proximity Models for Top-N Recommendations. |
ICBK |
2017 |
DBLP DOI BibTeX RDF |
|
| 8 | Michael D. Ekstrand, Vaibhav Mahant |
Sturgeon and the Cool Kids: Problems with Random Decoys for Top-N Recommender Evaluation. |
FLAIRS |
2017 |
DBLP BibTeX RDF |
|
| 8 | David Ben-Shimon, Lior Rokach, Bracha Shapira |
An ensemble method for top-N recommendations from the SVD. |
Expert Syst. Appl. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Xin Gao, Wenxue Huang, Ning Wang, Yanchao Yang, Ying Yan |
A Top-N Algorithm-based Personalized Learning Recommendation System for Digital Library. |
Int. J. Emerg. Technol. Learn. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Liang Zhu, Feifei Liu, Weiyi Meng, Qin Ma 0006, Yu Wang, Fang Yuan |
Evaluating Top-N queries in n-dimensional normed spaces. |
Inf. Sci. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Jongwuk Lee, Dongwon Lee 0001, Yeon-Chang Lee, Won-Seok Hwang, Sang-Wook Kim |
Improving the accuracy of top-N recommendation using a preference model. |
Inf. Sci. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Keqiang Wang, Hongwei Peng, Yuanyuan Jin, Chaofeng Sha, Xiaoling Wang |
Local Weighted Matrix Factorization for Top-n Recommendation with Implicit Feedback. |
Data Sci. Eng. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Ukrit Marung, Nipon Theera-Umpon, Sansanee Auephanwiriyakul |
Top-N Recommender Systems Using Genetic Algorithm-Based Visual-Clustering Methods. |
Symmetry |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Ondrej Kassák, Michal Kompan, Mária Bieliková |
Personalized hybrid recommendation for group of users: Top-N multimedia recommender. |
Inf. Process. Manag. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Jennifer Moody, David H. Glass |
A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations. |
ACM Trans. Intell. Syst. Technol. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Tommaso Di Noia, Vito Claudio Ostuni, Paolo Tomeo, Eugenio Di Sciascio |
SPrank: Semantic Path-Based Ranking for Top-N Recommendations Using Linked Open Data. |
ACM Trans. Intell. Syst. Technol. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Mirko Polato, Fabio Aiolli |
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Evgeny Frolov, Ivan V. Oseledets |
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Mirko Polato, Fabio Aiolli |
Disjunctive Boolean Kernels for Collaborative Filtering in Top-N Recommendation. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Zhao Kang 0001, Chong Peng, Ming Yang 0024, Qiang Cheng |
Top-N Recommendation on Graphs. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Zhao Kang 0001, Qiang Cheng |
Top-N Recommendation with Novel Rank Approximation. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Zhao Kang 0001, Chong Peng, Qiang Cheng |
Top-N Recommender System via Matrix Completion. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Yifan Chen 0003, Xiang Zhao 0002, Junjiao Gan, Junkai Ren, Yang Fang 0001 |
Content-Based Top-N Recommendation using Heterogeneous Relations. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
| 8 | Xiaodong Feng 0001, Ankit Sharma 0004, Jaideep Srivastava, Sen Wu 0001, Zhiwei Tang |
Social network regularized Sparse Linear Model for Top-N recommendation. |
Eng. Appl. Artif. Intell. |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Dimitrios Rafailidis, Fabio Crestani |
Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning. |
ECML/PKDD (2) |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen 0008, Haitao Yu 0003, Weinan Zhang 0001 |
Optimizing Factorization Machines for Top-N Context-Aware Recommendations. |
WISE (1) |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Dimitrios Rafailidis, Fabio Crestani |
Joint Collaborative Ranking with Social Relationships in Top-N Recommendation. |
CIKM |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhao Kang 0001, Chong Peng, Ming Yang 0024, Qiang Cheng |
Top-N Recommendation on Graphs. |
CIKM |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Fabio Aiolli, Mirko Polato |
Kernel based collaborative filtering for very large scale top-N item recommendation. |
ESANN |
2016 |
DBLP BibTeX RDF |
|
| 8 | Jiongxin Yang, Zhenyu Wang 0001 |
An Improved Top-N Recommendation for Collaborative Filtering. |
SMP |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhao Kang 0001, Qiang Cheng |
Top-N Recommendation with Novel Rank Approximation. |
SDM |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Tomás Jirsík, Milan Cermák, Pavel Celeda |
On Information Value of Top N Statistics. |
ICITCS |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Yifan Chen 0003, Xiang Zhao 0002, Junjiao Gan, Junkai Ren, Yanli Hu |
Content-Based Top-N Recommendation Using Heterogeneous Relations. |
ADC |
2016 |
DBLP DOI BibTeX RDF |
|
| 8 | Zhao Kang 0001, Chong Peng, Qiang Cheng |
Top-N Recommender System via Matrix Completion. |
AAAI |
2016 |
DBLP DOI BibTeX RDF |
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