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Product Recommendation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
Learning Set Functions with Implicit Differentiation
Consistency Regularization for Complementary Clothing Recommendations
Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering
HLogformer: A Hierarchical Transformer for Representing Log Data
E-Commerce Product Recommendation System based on ML Algorithms
"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis
Learning label-label correlations in Extreme Multi-label Classification via Label Features
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation
Using LLMs for the Extraction and Normalization of Product Attribute Values
A Usage-centric Take on Intent Understanding in E-Commerce
Fast Dual-Regularized Autoencoder for Sparse Biological Data
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model
Multi-modal Extreme Classification
Detecting Violations of Differential Privacy for Quantum Algorithms
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
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