Towards Better Search with Domain-Aware Text Embeddings for C2C Marketplaces
Published:Dec 24, 2025 07:35
•1 min read
•ArXiv
Analysis
This article proposes a method to improve search functionality in C2C marketplaces using domain-aware text embeddings. The focus is on tailoring the embeddings to the specific characteristics of the marketplace domain, likely leading to more relevant search results. The use of ArXiv as the source indicates this is a research paper, suggesting a technical approach and potentially novel contributions to the field of information retrieval and natural language processing.
Key Takeaways
- •Focus on improving search in C2C marketplaces.
- •Utilizes domain-aware text embeddings.
- •Likely involves technical details of embedding creation and evaluation.
- •Research paper from ArXiv suggests a novel approach.
Reference
“The article likely discusses the technical details of creating and utilizing these domain-aware embeddings, including the data used for training, the architecture of the embedding model, and the evaluation metrics used to assess the improvement in search performance.”