17 citations · 48 across the 9 of their papers we have counts for
4 papers · 1 filter
An End-to-End Solution for Named Entity Recognition in eCommerce Search
Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange +3
Named entity recognition (NER) is a critical step in modern search query understanding. In the domain of eCommerce, identifying the key entities, such as brand and product type, ca…
Active Learning for Product Type Ontology Enhancement in E-commerce
Yun Zhu, Sayyed M. Zahiri, Jiaqi Wang +2
Entity-based semantic search has been widely adopted in modern search engines to improve search accuracy by understanding users' intent. In e-commerce, an accurate and complete pro…
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce
Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra +2
Retrieving all semantically relevant products from the product catalog is an important problem in E-commerce. Compared to web documents, product catalogs are more structured and sp…
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
Ali Ahmadvand, Surya Kallumadi, Faizan Javed +1
An accurate understanding of a user's query intent can help improve the performance of downstream tasks such as query scoping and ranking. In the e-commerce domain, recent work in…