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Precision-Driven Product Recommendation Software: Unsupervised Models, Evaluated by GPT-4 LLM for Enhanced Recommender Systems

https://doi.org/10.3390/software3010004
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-76773-0_44openalex-snapshot
Subject Classification of Texts in Polish - from TF-IDF to Transformers
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EvoRecSys: Evolutionary framework for health and well-being recommender systems
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Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society
inferredcites →https://doi.org/10.1007/s13385-020-00236-zopenalex-snapshot
A recommendation system for car insurance
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Co-purchaser Recommendation for Online Group Buying
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Data augmentation approaches in natural language processing: A survey
inferredcites →https://doi.org/10.1016/j.dss.2020.113475openalex-snapshot
Recommendation systems and convergence of online reviews: The type of product network matters!
inferredcites →https://doi.org/10.1016/j.eswa.2017.03.069openalex-snapshot
Does order matter? Effect of order in group recommendation
inferredcites →https://doi.org/10.1016/j.fmre.2021.11.011openalex-snapshot
A commentary of GPT-3 in MIT Technology Review 2021
inferredcites →https://doi.org/10.1016/j.ins.2020.02.073openalex-snapshot
A survey of evolutionary computation for association rule mining
inferredcites →https://doi.org/10.1016/j.jksuci.2022.04.010openalex-snapshot
An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement
inferredcites →https://doi.org/10.1016/j.jretai.2022.03.005openalex-snapshot
The dark side of up-selling promotions: Evidence from an analysis of cross-brand purchase behavior☆
inferredcites →https://doi.org/10.1016/j.jvcir.2019.102735openalex-snapshot
E-commerce personalized recommendation analysis by deeply-learned clustering
inferredcites →https://doi.org/10.1016/j.nlp.2023.100048openalex-snapshot
A survey of GPT-3 family large language models including ChatGPT and GPT-4
inferredcites →https://doi.org/10.1016/j.nlp.2024.100056openalex-snapshot
LLMs in e-commerce: A comparative analysis of GPT and LLaMA models in product review evaluation
inferredcites →https://doi.org/10.1016/j.procs.2020.03.215openalex-snapshot
Generating Items Recommendations by Fusing Content and User-Item based Collaborative Filtering
inferredcites →https://doi.org/10.1016/j.procs.2021.12.194openalex-snapshot
Development of conceptual model to increase customer interest using recommendation system in e-commerce
inferredcites →https://doi.org/10.1080/03772063.2021.1997357openalex-snapshot
Matrix Factorization in Recommender Systems: Algorithms, Applications, and Peculiar Challenges
inferredcites →https://doi.org/10.1080/07421222.2021.1912930openalex-snapshot
Recommendations and Cross-selling: Pricing Strategies when Personalizing Firms Cross-sell
inferredcites →https://doi.org/10.1109/access.2020.2988796openalex-snapshot
Unsupervised K-Means Clustering Algorithm
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An Improved Decision Tree Model for Forecasting Consumer Decision in a Medium Groceries Store
inferredcites →https://doi.org/10.1109/icomitee53461.2021.9650317openalex-snapshot
Comparison Of Market Basket Analysis To Determine Consumer Purchasing Patterns Using Fp-Growth And Apriori Algorithm
inferredcites →https://doi.org/10.1109/ncc48643.2020.9056085openalex-snapshot
A TfidfVectorizer and SVM based sentiment analysis framework for text data corpus
inferredcites →https://doi.org/10.1109/tits.2022.3222789openalex-snapshot
Hierarchical Clustering Based on Dendrogram in Sustainable Transportation Systems
inferredcites →https://doi.org/10.1145/2600428.2609603openalex-snapshot
Bundle recommendation in ecommerce
inferredcites →https://doi.org/10.1145/3298689.3347009openalex-snapshot
Deep language-based critiquing for recommender systems
inferredcites →https://doi.org/10.1145/3400286.3418253openalex-snapshot
Content-Based Collaborative Filtering using Word Embedding
inferredcites →https://doi.org/10.1145/3510003.3510083openalex-snapshot
OJXPerf
inferredcites →https://doi.org/10.1145/3540250.3549119openalex-snapshot
CommentFinder: a simpler, faster, more accurate code review comments recommendation
inferredcites →https://doi.org/10.1145/3570361.3592503openalex-snapshot
DroidPerf: Profiling Memory Objects on Android Devices
inferredcites →https://doi.org/10.3390/app12042118openalex-snapshot
Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation
inferredcites →https://doi.org/10.3390/app132011378openalex-snapshot
A Comprehensive Survey of Recommender Systems Based on Deep Learning
inferredcites →https://doi.org/10.3390/bdcc5030035openalex-snapshot
Deep Neural Network and Boosting Based Hybrid Quality Ranking for e-Commerce Product Search
inferredcites →https://doi.org/10.3390/drones7020114openalex-snapshot
Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.3390/electronics11010141openalex-snapshot
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
inferredcites →https://doi.org/10.3390/ijgi9020085openalex-snapshot
Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data
inferredcites →https://doi.org/10.3390/info11110525openalex-snapshot
Graph Convolutional Neural Network for a Pharmacy Cross-Selling Recommender System
inferredcites →https://doi.org/10.3390/math9020197openalex-snapshot
Design and Analysis of a Cluster-Based Intelligent Hybrid Recommendation System for E-Learning Applications
inferredcites →https://doi.org/10.3390/su151512015openalex-snapshot
Unveiling Sustainability in Ecommerce: GPT-Powered Software for Identifying Sustainable Product Features
inferredcites →https://doi.org/10.3991/ijet.v16i03.18851openalex-snapshot
A Review of Content-Based and Context-Based Recommendation Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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LLM Trained Bandit Algorithms for Improving Q-Commerce Grocery Swaps
inferred← citeshttps://doi.org/10.1007/978-981-96-2697-7_26openalex-snapshot
A Comparative Study of Machine Learning Algorithms for Recommendation Systems
inferred← citeshttps://doi.org/10.1007/s40747-026-02247-xopenalex-snapshot
Efficient multilingual spam detection on resource-constrained devices: a comparative analysis of QLoRA fine-tuning of Gemma 3, Qwen 3, and Llama 3.2 models
inferred← citeshttps://doi.org/10.1016/b978-0-443-44344-2.00014-5openalex-snapshot
Large language model-driven marketing strategy and consumer insights
inferred← citeshttps://doi.org/10.1016/j.dib.2025.112291openalex-snapshot
GPTRC: A large-scale dataset for evaluating question-answering capabilities and limitations of large language models
inferred← citeshttps://doi.org/10.1016/j.nlp.2025.100142openalex-snapshot
LLMs for product classification in e-commerce: A zero-shot comparative study of GPT and claude models
inferred← citeshttps://doi.org/10.1038/s41598-025-98483-1openalex-snapshot
Industrial applications of large language models
inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11467835openalex-snapshot
LLM Agent-Based Simulations for Phishing Email Detection in Various Multi-Agent Sizes
inferred← citeshttps://doi.org/10.1109/acira67680.2025.11334209openalex-snapshot
A Method for Add-on Products Recommendation Based on Monetary Preference in RFM Model
inferred← citeshttps://doi.org/10.22399/ijcesen.651openalex-snapshot
Integrating Self-Attention Mechanisms For Contextually Relevant Information In Product Management
inferred← citeshttps://doi.org/10.3390/ai6040064openalex-snapshot
SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine
inferred← citeshttps://doi.org/10.3390/electronics13112034openalex-snapshot
Next-Generation Spam Filtering: Comparative Fine-Tuning of LLMs, NLPs, and CNN Models for Email Spam Classification
inferred← citeshttps://doi.org/10.3390/s24227314openalex-snapshot
Enabling Design of Secure IoT Systems with Trade-Off-Aware Architectural Tactics
inferred← citeshttps://doi.org/10.70389/pjs.100250openalex-snapshot
Hybrid GPT and Neural Models for Personalized E-Commerce: A Novel Framework for Adaptive and Transparent Product Recommendations
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