Review on Intelligent Recommender System using Bayes Classification Algorithm

Maheshwari Rana, Komal Gohil, Mansi Trivedi

Abstract: With the advanced development of resource technology, more and more digital resources are available in Internet. To maintain college study material repository online as I propose a Intelligent study material recommendation system for college students. The document classification as well as material recommendation for college students based on bayes classification algorithm. It helps staff to upload study material and students to get the study material by convenient way and allow to provide rating for every study material to re-rank the links of study material uploaded by the staff. Re-ranking concept increases the interest of the student as he will get what he wants easily and overcome the resource restriction problem by providing additional live recommender system to student by using educational search engine.

Keywords: Document classification, recommender system, re-ranking concept, educational search engine

How to Cite?: Maheshwari Rana, Komal Gohil, Mansi Trivedi, "Review on Intelligent Recommender System using Bayes Classification Algorithm", Volume 7 Issue 10, October 2018, International Journal of Science and Research (IJSR), Pages: 684-686, https://www.ijsr.net/getabstract.php?paperid=ART20191857, DOI: https://dx.doi.org/10.21275/ART20191857

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