RECOMMENDER SYSTEMS USING RELATIONAL COLLABORATIVE TOPIC REGRESSION (RCTR)

Volume 19 No 7 (2021)

Anil baburao

DOI: 10.48047/nq.2021.19.7.NQ21124

Abstract

A subclass of information filtering systems called recommender systems aims to forecast the "rating" or "preference" that a user will provide to a product. In recent years, recommender systems have proliferated and are used in a wide range of applications. Films, music, news, books, academic articles, search terms, social media tags, and items in general are perhaps the most well-liked ones. There are additional systems that offer recommendations for professionals, comedy, dining establishments, financial products, life insurance, and individuals (online dating), as well as Twitter followers

Keywords

Relational Collaborative Topic Regression (RCTR), Recommender Systems, Content-Based Filtering, Feedbacks.

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