Abstract: Conventional approaches to query expansion (QE) rely on the integration of an unstructured corpus and probabilistic rules for the extraction of candidate expansion terms. These methods do ...
We introduce the “Shopping Queries Data Set”, a large dataset of difficult search queries, released with the aim of fostering research in the area of semantic matching of queries and products. For ...
SAN FRANCISCO--(BUSINESS WIRE)--AfterQuery, a leading applied data solutions research lab, today announced the completion of its $30 million Series A fundraising round at a $300 million valuation. The ...
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