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Recommendation System for Startups

Journal: International Journal of Engineering and Techniques (Vol.4, No. 2)

Publication Date:

Authors : ;

Page : 471-475

Keywords : Feature Selection; Machine Learning; Opinion Mining; Ranking; Review; Startup.;

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Over the past two decades, the Internet has emerged as the mainstream medium for online shopping, social networking, e-mail and more. Corporations also view the Web as a potential business accelerator. They see the huge volume of transactional and interaction data generated by the Internet as research and development that informs the creation of new and more competitive services and products. The proposed system enable startup companies to track Clients interactions across services. This system allows to make open interaction between startup companies and their clients. In this system client ask for the solutions and multiple startup companies are allowed to give solutions. Depending on these solutions client will give feedback to startup companies. This feedbacks are then mined and recommendations are provided to startup companies. Also system allows visitors to view recommendations and solutions. This recommendations are helpful for startups to get more clients and they will get exposure.

Last modified: 2018-07-06 15:29:22