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ANTHEM
2022
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
Product search is a fundamentally challenging problem due to the large-size of product catalogues and the complexity of extracting semantic information from products. In addition to this, the blackbox nature of most search systems also hamper a smooth customer experience. Current approaches in this area utilize lexical and semantic product information to match user queries against products. However, these models lack (i) a hierarchical query representation, (ii) a mechanism to detect and
doi:10.1145/3488560.3498456
fatcat:5skmjm7x6vfeppjo7x5kamo4em