Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.

H. Guo, R. Tang, Y. Ye, F. Liu, and Y. Zhang. CoRR, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Huifeng Wang

Baoliang Guo

Xin Guo

Yubao Guo

Yong Guo

Other publications of authors with the same name

PAL: a position-bias aware learning framework for CTR prediction in live recommender systems.H. Guo, J. Yu, Q. Liu, R. Tang, and Y. Zhang. RecSys, page 452-456. ACM, (2019)Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction.B. Liu, R. Tang, Y. Chen, J. Yu, H. Guo, and Y. Zhang. WWW, page 1119-1129. ACM, (2019)DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.H. Guo, R. Tang, Y. Ye, Z. Li, X. He, and Z. Dong. CoRR, (2018)Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.S. Li, H. Guo, L. Hou, W. Zhang, X. Tang, R. Tang, R. Zhang, and R. Li. CoRR, (2022)Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data.Y. Qu, B. Fang, W. Zhang, R. Tang, M. Niu, H. Guo, Y. Yu, and X. He. CoRR, (2018)Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.F. Lyu, X. Tang, H. Guo, R. Tang, X. He, R. Zhang, and X. Liu. ICDE, page 1450-1462. IEEE, (2022)MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.W. Guo, C. Zhang, Z. He, J. Qin, H. Guo, B. Chen, R. Tang, X. He, and R. Zhang. ICDE, page 727-740. IEEE, (2022)Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.Z. He, W. Xia, K. Dong, H. Guo, R. Tang, D. Xia, and R. Zhang. KDD, page 2997-3006. ACM, (2022)Compressed Interaction Graph based Framework for Multi-behavior Recommendation.W. Guo, C. Meng, E. Yuan, Z. He, H. Guo, Y. Zhang, B. Chen, Y. Hu, R. Tang, X. Li and 1 other author(s). WWW, page 960-970. ACM, (2023)Representation Learning-based Slice Resource Reconfiguring Scheme in Multimedia Networks.H. Yang, J. Nan, Q. Yao, B. Bao, Y. Jiang, and H. Guo. BMSB, page 1-3. IEEE, (2020)

BibSonomy

Disambiguation of "Guo, Huifeng"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.

Please choose a person to relate this publication to

Huifeng Wang

Baoliang Guo

Xin Guo

Yubao Guo

Yong Guo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Guo, Huifeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.

Please choose a person to relate this publication to

Huifeng Wang

Baoliang Guo

Xin Guo

Yubao Guo

Yong Guo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.