Genre Familiarity Correlation-Based Recommender Algorithm for New User Cold Start Problem

Volume: 17, Issue: 3, Pages: 30 - 49
Published: Jul 1, 2021
Abstract
The advancement of web services paved the way to the accumulation of a tremendous amount of information into the world wide web. The huge pile of information makes it hard for the user to get the required information at the right time. Therefore, to get the right item, recommender systems are emphasized. Recommender algorithms generally act on the user information to render recommendations. In this scenario, when a new user enters the system, it...
Paper Details
Title
Genre Familiarity Correlation-Based Recommender Algorithm for New User Cold Start Problem
Published Date
Jul 1, 2021
Volume
17
Issue
3
Pages
30 - 49
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