Call For Paper

Volume 10 Issue 4

April 2024

Submit Paper Here
Download Paper Format
Copyright Form
News for Authors:

We have started accepting articles by online means directly through website. Its our humble request to all the researchers to go and check the new method of article submission on below link: Submit Manuscript

Follow us on Social Media:

Dear Researchers, to get in touch with the recent developments in the technology and research and to gain free knowledge like , share and follow us on various social media. Facebook


A product recommendation system based on hybrid approach


Shivani Gore


Book Recommendation, Time Factor, Category of books, Content Based Algorithm, Time Sequence Based Collaborative Filtering .


Product recommendation system are of great significance in e-commerce. Current recommendation approaches made great achievements, but do not consider different people's similar learning trajectories in the same major. This paper focuses on "book" as a product. In order to recommend books more accurately, this paper proposes a personalized book recommendation algorithm that is based on the time sequential collaborative filtering and content based collaborative filtering. In this algorithm we consider important factors: time sequence information of purchasing books of different users in database and content of the user profile. Here, results of both the algorithms are unified for obtaining the more accurate list of recommended books. This hybrid book recommendation system satisfies user by providing best and efficient books recommendations.

Other Details

Published in: Volume : 3, Issue : 5
Publication Date: 5/1/2017

Article Preview

Download Article