Paper Title

Content Recommendation Systems and Approaches Using Hybrid Filtering

Article Identifiers

Registration ID: IJNRD_201166

Published ID: IJNRD2307190

DOI: Click Here to Get

Authors

Hari Krishnan , Kusumalatha Karre , Sai Charan , C Rohit

Keywords

Content Based Filtering, Collaborative Filtering, Hybrid Filtering.

Abstract

Even though many people love watching movies, their choice of watching movies isn’t the same for every person, differs based on their various preferences like genre, actors, directors etc. When we take all this into account, it’s astoundingly difficult to generalize a movie and say that everyone would like it. To tackle this, we use Recommendation systems such as hybrid filtering. A movie recommendation system using hybrid filtering combines content-based and collaborative filtering methods to suggest movies to users. The content-based method uses movie features such as genre, plot, and actors to find similar movies, while the collaborative filtering method utilizes user behavior such as watching history, ratings, and user similarity to make recommendations. By combining these two methods, the system can provide more accurate and diverse movie suggestions to users.

How To Cite

"Content Recommendation Systems and Approaches Using Hybrid Filtering", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 7, page no.b800-b804, July-2023, Available :https://ijnrd.org/papers/IJNRD2307190.pdf

Issue

Volume 8 Issue 7, July-2023

Pages : b800-b804

Other Publication Details

Paper Reg. ID: IJNRD_201166

Published Paper Id: IJNRD2307190

Downloads: 000121120

Research Area: Computer Science & Technology 

Country: HYDERABAD, TELANGANA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307190.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307190

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

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