IMAN IN MOTION: AI-Based and Mood-Based Movie Recommendation Platform through Digital Communication Approach

IMAN IN MOTION is an AI-powered digital platform designed to provide personalized film recommendations based on users’ moods and preferences. The project aims to enhance digital media engagement by helping users discover relevant content that aligns with their emotional states and viewing interests. The platform utilizes recommendation algorithms and user-centered design principles to create a more meaningful and personalized media consumption experience. By combining mood-based inputs with intelligent recommendation mechanisms, IMAN IN MOTION seeks to address information overload and improve content discovery in the digital entertainment landscape. This project represents the intersection of artificial intelligence, digital communication, and user experience design. It demonstrates how AI-driven personalization can support audience engagement andencourage more intentional media consumption practices. The repository contains project documentation, research outputs, and supporting materials related to the development and implementation of IMAN IN MOTION. The project is protected by intellectual property rights (HKI) and serves as an academic and technological innovation in the field of digital media and recommendation systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20604897
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

IMAN IN MOTION: AI-Based and Mood-Based Movie Recommendation Platform through Digital Communication Approach

Rizki Dwi Febriansyah
Zenodo (CERN European Organization for Nuclear Research)
Digital Media and Visual Art
article

IMAN IN MOTION: AI-Based and Mood-Based Movie Recommendation Platform through Digital Communication Approach

Rizki Dwi Febriansyah
article en

Abstract

IMAN IN MOTION is an AI-powered digital platform designed to provide personalized film recommendations based on users’ moods and preferences. The project aims to enhance digital media engagement by helping users discover relevant content that aligns with their emotional states and viewing interests. The platform utilizes recommendation algorithms and user-centered design principles to create a more meaningful and personalized media consumption experience. By combining mood-based inputs with intelligent recommendation mechanisms, IMAN IN MOTION seeks to address information overload and improve content discovery in the digital entertainment landscape. This project represents the intersection of artificial intelligence, digital communication, and user experience design. It demonstrates how AI-driven personalization can support audience engagement andencourage more intentional media consumption practices. The repository contains project documentation, research outputs, and supporting materials related to the development and implementation of IMAN IN MOTION. The project is protected by intellectual property rights (HKI) and serves as an academic and technological innovation in the field of digital media and recommendation systems.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Ibn Khaldun Bogor (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Digital Media and Visual Art
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IMAN IN MOTION: AI-Based and Mood-Based Movie Recommendation Platform through Digital Communication Approach — Rizki Dwi Febriansyah · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS