SOTAVerified

Product Recommendation

Papers

Showing 125 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
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Benchmark Results

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