SOTAVerified

Product Recommendation

Papers

Showing 150 of 132 papers

TitleStatusHype
AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview0
A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification0
StealthRank: LLM Ranking Manipulation via Stealthy Prompt OptimizationCode0
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio PlatformCode1
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder0
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations0
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information0
Learning Set Functions with Implicit Differentiation0
Consistency Regularization for Complementary Clothing Recommendations0
Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literatureCode0
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?0
Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems0
A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
HLogformer: A Hierarchical Transformer for Representing Log Data0
E-Commerce Product Recommendation System based on ML Algorithms0
"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs0
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning0
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational DataCode0
PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends0
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis0
Learning label-label correlations in Extreme Multi-label Classification via Label Features0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion0
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation0
Using LLMs for the Extraction and Normalization of Product Attribute ValuesCode1
A Usage-centric Take on Intent Understanding in E-CommerceCode0
Fast Dual-Regularized Autoencoder for Sparse Biological Data0
RetailSynth: Synthetic Data Generation for Retail AI Systems EvaluationCode1
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model0
Multi-modal Extreme ClassificationCode1
Detecting Violations of Differential Privacy for Quantum Algorithms0
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality0
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation0
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM0
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss FunctionsCode1
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text GenerationCode0
Is ChatGPT a Good Personality Recognizer? A Preliminary Study0
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces0
Product Information Extraction using ChatGPTCode0
Computational Technologies for Fashion Recommendation: A Survey0
Disjunctive Branch-And-Bound for Certifiably Optimal Low-Rank Matrix Completion0
Improving Recommendation Systems with User Personality Inferred from Product Reviews0
Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning0
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics0
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement LearningCode1
Recommending Related Products Using Graph Neural Networks in Directed Graphs0
Towards Correlated Sequential Rules0
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning0
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems0
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ensemble (60 models)F10.07Unverified