BibTeX:

@article{IJIRSTV3I8044,
     title={Implementing Product Recommendation System using Neural Network by Connection Social networking to E-Commerce},
     author={Manish Suresh Raka and Sachin Godse},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={8},
     pages={94--98},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I8044.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Recently, the bounds between e-commerce and social networking have become increasingly blurred. Many e-commerce websites keep the mechanism of social log in where users can to stay the websites using their social media identities like their Facebook or Twitter accounts. Users may also post their newly purchased products on micro-blogs with links on the e-commerce product web pages. Within this paper, we advise a manuscript solution for a cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in "cold-start" situations, an issue that has rarely been explored before. A serious challenge is how you can leverage knowledge extracted from social networking sites for the cross-site cold-start product recommendation.

e-commerce, product recommender, product demographic, micro-blogs, recurrent neural networks