Towards a simplified ontology for better e-commerce search
July 05, 2018 Β· Declared Dead Β· π eCOM@SIGIR
"No code URL or promise found in abstract"
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Authors
Aliasgar Kutiyanawala, Prateek Verma, Zheng, Yan
arXiv ID
1807.02039
Category
cs.IR: Information Retrieval
Citations
7
Venue
eCOM@SIGIR
Last Checked
4 months ago
Abstract
Query Understanding is a semantic search method that can classify tokens in a customer's search query to entities such as Product, Brand, etc. This method can overcome the limitations of bag-of-words methods but requires an ontology. We show that current ontologies are not optimized for search and propose a simplified ontology framework designed specifically for e-commerce search and retrieval. We also present three methods for automatically extracting product classes for the proposed ontology and compare their performance relative to each other.
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