Cover Image

Proposing a Semantic Movie Recommendation System Enhanced by ChatGPT's NLP Results

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fallahi, Ali, Bastanfard, Azam, Amini, Amineh, Saboohi, Hadi
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Study on Enhancing User Engagement by Employing Gamified Recommender Systems
by: Fallahi, Ali, et al.
Published: (2025)

Req-Rec: Enhancing Requirements Elicitation for Increasing Stakeholder's Satisfaction Using a Collaborative Filtering Based Recommender System
by: Fallahi, Ali, et al.
Published: (2025)

Evaluating ChatGPT as a Recommender System: A Rigorous Approach
by: Di Palma, Dario, et al.
Published: (2023)

Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
by: Di Palma, Dario, et al.
Published: (2026)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
by: Zhang, Yabin, et al.
Published: (2024)

FAIR GPT: A virtual consultant for research data management in ChatGPT
by: Shigapov, Renat, et al.
Published: (2024)

Conversational Recommendation System using NLP and Sentiment Analysis
by: Talegaonkar, Piyush, et al.
Published: (2025)

Metamorphic Evaluation of ChatGPT as a Recommender System
by: Khirbat, Madhurima, et al.
Published: (2024)

Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable
by: Memon, Shahan Ali, et al.
Published: (2024)

Semantic-Enhanced Relational Metric Learning for Recommender Systems
by: Li, Mingming, et al.
Published: (2024)

An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations
by: Chow, Eric H. C., et al.
Published: (2024)

Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
by: Zheng, Carolina, et al.
Published: (2025)

ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback
by: Spurlock, Kyle Dylan, et al.
Published: (2024)

Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
by: Huang, Yizheng, et al.
Published: (2024)

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
by: Di Palma, Dario, et al.
Published: (2025)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation
by: Oh, Yoori, et al.
Published: (2024)

Empowering ChatGPT-Like Large-Scale Language Models with Local Knowledge Base for Industrial Prognostics and Health Management
by: Wang, Huan, et al.
Published: (2023)

Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
by: Hu, Yibo, et al.
Published: (2023)

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
by: Guan, Zhihao, et al.
Published: (2024)

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
by: Aridor, Guy, et al.
Published: (2024)

Towards LLM-Enhanced Group Recommender Systems
by: Lubos, Sebastian, et al.
Published: (2025)

ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing
by: Li, Ning, et al.
Published: (2025)

Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
by: Xia, Linhan, et al.
Published: (2024)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
by: Guan, Zhong, et al.
Published: (2024)

Enhancing and Scaling Search Query Datasets for Recommendation Systems
by: Rodrigues, Aaron, et al.
Published: (2025)

Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2024)

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
by: Hong, Minjie, et al.
Published: (2025)

Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
by: Le, Ngoc Luyen, et al.
Published: (2024)

Developing an Intelligent Job Recommendation System Using Semantic Retrieval and Explainable AI Techniques
by: Awad, Hussein Al, et al.
Published: (2026)

Large Language Models Enhanced Hyperbolic Space Recommender Systems
by: Cheng, Wentao, et al.
Published: (2025)

Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

Large Language Models as Conversational Movie Recommenders: A User Study
by: Sun, Ruixuan, et al.
Published: (2024)

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
by: Zhan, Tianyu, et al.
Published: (2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)

Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
by: Zhou, Xiao, et al.
Published: (2025)

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
by: Fan, Yu-chen, et al.
Published: (2023)

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation
by: Mayo, Jonathan, et al.
Published: (2026)

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
by: Song, Chonggang, et al.
Published: (2024)