Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Sep 10·5 min read
Query Brand Entity Linking in E-Commerce Search
TL;DR
A novel brand entity linking system for e-commerce search was developed, significantly enhancing brand recall and customer engagement. Two approaches were implemented: a cascaded pipeline and a single-stage classification model.
✦ Why It Matters
Implement advanced brand linking techniques to improve search accuracy and boost customer engagement today.
Key Takeaways
- Implement a cascaded pipeline for brand mention detection.
- Utilize extreme multiclass classification for direct query mapping.
- Evaluate solutions in multiple languages for broader applicability.
- Focus on improving brand recall to enhance customer engagement.
How It Works
The cascaded pipeline first uses sequence labeling to identify brand mentions in user queries. Once identified, it disambiguates these mentions by cross-referencing a comprehensive brand knowledge base.
The single-stage approach simplifies this by directly mapping queries to brand identifiers through a multiclass classification model, allowing for faster processing and potentially higher accuracy.