Product Categorization
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Benchmarks
SCG
Most implemented
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Taming Pretrained Transformers for Extreme Multi-label Text Classification
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
Papers
Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
Node classification is a fundamental problem in information retrieval with many real-world applications, such as community detection in social networks, grouping articles published online and product categorization in e-…
Product CategorizationInformation RetrievalNode ClassificationCommunity DetectionCross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
This study addresses critical industrial challenges in e-commerce product categorization, namely platform heterogeneity and the structural limitations of existing taxonomies, by developing and deploying a multimodal hier…
Product CategorizationA BERT-based Hierarchical Classification Model with Applications in Chinese Commodity Classification
Existing e-commerce platforms heavily rely on manual annotation for product categorization, which is inefficient and inconsistent. These platforms often employ a hierarchical structure for categorizing products; however,…
Product CategorizationText ClassificationDashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash
Despite the success of vision-language models in various generative tasks, obtaining high-quality semantic representations for products and user intents is still challenging due to the inability of off-the-shelf models t…
Contrastive LearningProduct CategorizationGraph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
Graph Neural Networks (GNNs) have recently gained traction in transportation, bioinformatics, language and image processing, but research on their application to supply chain management remains limited. Supply chains are…
Anomaly DetectionDemand ForecastingProduct CategorizationProduction Forecasting+2SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
It is often desirable to distill the capabilities of large language models (LLMs) into smaller student models due to compute and memory constraints. One way to do this for classification tasks is via dataset synthesis, w…
Bias DetectionDiversityHumor DetectionInformation Retrieval+6