SOTAVerified

Product Recommendation

Papers

Showing 150 of 132 papers

TitleStatusHype
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural NetworkCode1
RetailSynth: Synthetic Data Generation for Retail AI Systems EvaluationCode1
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio PlatformCode1
BERT Goes Shopping: Comparing Distributional Models for Product RepresentationsCode1
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product RecommendationCode1
Gated Attentive-Autoencoder for Content-Aware RecommendationCode1
Automatic Controllable Product Copywriting for E-CommerceCode1
A Tutorial on Thompson SamplingCode1
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme ClassificationCode1
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
Using LLMs for the Extraction and Normalization of Product Attribute ValuesCode1
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss FunctionsCode1
Multi-modal Extreme ClassificationCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
DECAF: Deep Extreme Classification with Label FeaturesCode1
Learning Neural Set Functions Under the Optimal Subset OracleCode1
Cross-Market Product RecommendationCode1
Learning Backward Compatible EmbeddingsCode1
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement LearningCode1
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product SearchCode0
Black-box Node Injection Attack for Graph Neural NetworksCode0
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text GenerationCode0
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box ModelsCode0
Robust Graph Representation Learning via Neural SparsificationCode0
StealthRank: LLM Ranking Manipulation via Stealthy Prompt OptimizationCode0
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online AdvertisingCode0
MILDNet: A Lightweight Single Scaled Deep Ranking ArchitectureCode0
Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literatureCode0
Product Information Extraction using ChatGPTCode0
Distributed Learning of Deep Neural Networks using Independent Subnet TrainingCode0
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo ClassificationCode0
Low-Rank Factorization of Determinantal Point Processes for RecommendationCode0
A Usage-centric Take on Intent Understanding in E-CommerceCode0
Adaptive Sequence SubmodularityCode0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
Complete the Look: Scene-based Complementary Product RecommendationCode0
Context-aware Retail Product Recommendation with Regularized Gradient BoostingCode0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational DataCode0
Learning Compatibility Across Categories for Heterogeneous Item RecommendationCode0
Retrieving Similar E-Commerce Images Using Deep LearningCode0
Cascading Multiway Attentions for Document-level Sentiment Classification0
Camera Fingerprint: A New Perspective for Identifying User's Identity0
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis0
Blocking Bandits0
A Meta-Learning Perspective on Cold-Start Recommendations for Items0
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction0
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
Efficient Ensembles of Graph Neural Networks0
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Benchmark Results

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