Sequential Recommendations on GitHub Repository

The software development platform is an increasingly expanding industry. It growing steadily due to the active research and sharing of artificial intelligence deep learning. Further, predicting users’ propensity in this huge community recommending a new repository beneficial for researchers users. Despite this, only few researches have been done on recommendation system such platforms. In study, we propose method model extensive user data online with learning-based system. This study shows that can be effectively recommended based accumulated big from user. Moreover, first sequential provides dataset platform, which as large prevailing datasets. experiments show proposed practiced various tasks.