Movies for U

This paper presents MoviesForYou, a web-based movie booking platform that integrates an AI-powered con- versational chatbot for mood-based movie recommendations, automated seat suggestions, and a data analytics module for theater and revenue insights. The system allows users to describe their mood in natural language; the chatbot leverages language understanding and movie metadata to recommend titles that match the user’s affective state and viewing prefer- ences. The analytics module computes weekly booking trends, genre popularity, theater performance, rating-based summaries, and revenue trend analysis. The platform intentionally supports offline payment workflows (seat-on-hold with time-limited reser- vation) rather than online payment. We describe the system architecture, implementation details (based on the provided project codebase), evaluation methodology, key results, and future directions. The paper includes flowchart and system- architecture placeholders, experimental and analytic outputs, and an APA-style reference list.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17234742
Primary Topic
Place Attachment and Urban Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Movies for U

Zenodo (CERN European Organization for Nuclear Research)
Place Attachment and Urban Studies
article

Movies for U

article en

Abstract

This paper presents MoviesForYou, a web-based movie booking platform that integrates an AI-powered con- versational chatbot for mood-based movie recommendations, automated seat suggestions, and a data analytics module for theater and revenue insights. The system allows users to describe their mood in natural language; the chatbot leverages language understanding and movie metadata to recommend titles that match the user’s affective state and viewing prefer- ences. The analytics module computes weekly booking trends, genre popularity, theater performance, rating-based summaries, and revenue trend analysis. The platform intentionally supports offline payment workflows (seat-on-hold with time-limited reser- vation) rather than online payment. We describe the system architecture, implementation details (based on the provided project codebase), evaluation methodology, key results, and future directions. The paper includes flowchart and system- architecture placeholders, experimental and analytic outputs, and an APA-style reference list.

Zenodo (CERN European Organization for Nuclear Research)
Parul University (IN)
Openalex Percentile: Top 37%
Place Attachment and Urban Studies
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