/Tutorial_of_a_journal_paper_01

This is my tutorial repository to study on the journal paper whose name is "Addressing Cold Start in Recommender Systems: A Semi-supervised Co-training Algorithm"

Primary LanguagePythonMIT LicenseMIT

Tutorial_of_a_journal_paper_01

This is my tutorial repository to study on the journal paper whose name is "Addressing Cold Start in Recommender Systems: A Semi-supervised Co-training Algorithm"

property of the paper.

@inproceedings{zhang2014addressing, title={Addressing cold start in recommender systems: A semi-supervised co-training algorithm}, author={Zhang, Mi and Tang, Jie and Zhang, Xuchen and Xue, Xiangyang}, booktitle={Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval}, pages={73--82}, year={2014}, organization={ACM} }

I used MovieLens Datasets

F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4, Article 19 (December 2015), 19 pages. DOI=http://dx.doi.org/10.1145/2827872

the URLs that I reffered.

Stochastic Gradient Descent (SGD) with Python (https://www.pyimagesearch.com/2016/10/17/stochastic-gradient-descent-sgd-with-python/)