2020/09/19 by Yun Zhu, Zhu, Yun, Sayyed M. Zahiri +8
Computer Science · #Semantic Web and Ontologies #Sentiment Analysis and Opinion Mining #Web Data Mining and Analysis #cs.AI #cs.CL #cs.LG
paper · pdf · doi:10.48550/arxiv.2009.09143
arxiv created 2021/03/11 · arxiv updated 2021/03/15
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 product type (PT) ontology is essential for recognizing product entities in queries and retrieving relevant products from catalog. However, finding product types (PTs) to construct such an ontology is usually expensive due to the considerable amount of human efforts it may involve. In this work, we propose an active learning framework that efficiently utilizes domain experts' knowledge for PT discovery. We also show the quality and coverage of the resulting PTs in the experiment results.