Movie Recommendation System: Natural Language Processing-Based Recommender System

B. Manohar Prasad; D. Navya Kanchana; Ch. Bhavana; G. Praneetha; A. R. V. Prasad

doi:10.64643/ijirtv12i10-194819-459

April 3, 2026International Journal of Innovative Research in TechnologyOpen Access

Movie Recommendation System: Natural Language Processing-Based Recommender System

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Key Points

The main aim is to assess the effectiveness of a natural language processing-based recommender system for movie recommendations.
Developed an algorithm using natural language processing techniques.
Implemented the system to analyze user preferences based on textual data.
Evaluated the accuracy and relevance of recommendations through tests.
The recommendation system significantly improved user satisfaction with movie selections.
Accuracy of suggestions showed a measurable increase compared to traditional methods.

Implication

Evaluates a natural language processing-based recommendation system to enhance movie selection, implying advancements in AI technology.

Abstract

Explore the article titled Movie Recommendation System: Natural Language Processing-Based Recommender System from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Prasad et al. (2026) studied this question.

synapsesocial.com/papers/69d8930e6c1944d70ce04311 https://doi.org/10.64643/ijirtv12i10-194819-459

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Movie Recommendation System: Natural Language Processing-Based Recommender System

Key Points

Implication

Abstract

Discussion

Cite This Study

Movie Recommendation System: Natural Language Processing-Based Recommender System

Key Points

Implication

Abstract

Discussion

Cite This Study

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