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A Micro-Video Recommendation System based on Weighted Slope One Algorithm

Author(s):

Hemang Patil , PES Modern College of Engineering; Mangesh More, PES Modern College of Engineering; Ronak Mutha, PES Modern College of Engineering; Pushkar Waghchoure, PES Modern College of Engineering; Prof. Jayaprabha Kanase, PES Modern College of Engineering

Keywords:

Micro-video; Recommendation system; Slope One; Weighted Slope One

Abstract

Trending Technology and development of Internet services shows how micro-video is becoming a new face especially for youth. However, many users face difficulties to get proper micro-videos from amount of videos on the Internet. Many websites today use Recommender Systems that give personalized recommendations of items to a set of different users. Therefore, thus paper proposes a micro-video recommendation system. The core of this system is recommendation algorithms. The purpose of this paper is to implement an algorithm that should be easy to implement, be effective on query time and accurate on recommendations. Slope one recommendation system is a simplified but enhanced version of linear regression and can be used to recommend items. This paper uses Weighted Slope One technique which is an alternation of Slope One. User must at least have rated two items in order to receive a recommendation of the implementation.

Other Details

Paper ID: IJSRDV7I30512
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 657-658

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