Cosine based latent factor model for ranking the recommendation-Reference-Cited by-同舟云学术

Cosine based latent factor model for ranking the recommendation

Published:2017-05-25 Issue:1 Volume:20 Page:297-317
ISSN:1109-2858
Container-title:Operational Research
language:en
Short-container-title:Oper Res Int J

Author:

Kumar Bipul,Bala Pradip Kumar

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Computational Theory and Mathematics,Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Modelling and Simulation,Numerical Analysis

Link

http://link.springer.com/content/pdf/10.1007/s12351-017-0325-6.pdf

Reference75 articles.

1. Adolphs C, Winkelmann A (2010) Personalization research in e-commerce–a state of the art review (2000–2008). J Electron Commer Res 11(4):326–341

2. Agarwal D, Chen B-C (2009) Regression-based latent factor models. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, pp 19–28

3. Ahmed A, Kanagal B, Pandey S, Josifovski V, Pueyo LG, Yuan J (2013) Latent factor models with additive and hierarchically-smoothed user preferences. In: Proceedings of the sixth ACM international conference on web search and data mining—WSDM’13. https://doi.org/10.1145/2433396.2433445

4. Anand D, Bharadwaj KK (2011) Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities. Expert Syst Appl 38(5):5101–5109

5. Balakrishnan S, Chopra S, Ave P, Park F, Ave P, Park F (2012) Collaborative ranking. In: Proceedings of the fifth ACM international conference on web search and data mining—WSDM’12, p 143. https://doi.org/10.1145/2124295.2124314

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. INVESTIGATION OF DESIGN ERRORS OF THE HEPSIBURADA PLATFORM ACCORDING TO USER EXPERIENCE AND INTERACTION FACTORS;Ergonomi;2023-04-15