Ebay, Incorporated

Anthony Robert Bell

Daniel Miranda

Prathyusha Senthil Kumar

Methods and systems for improved categorization of queries are disclosed. In one aspect, a search query is received and determined to match a pattern having an uncategorized variable placeholder portion. In response to determining the search query matches the pattern, the pattern is used to identify a first portion of the search query based on the first portion of the search query corresponding to the uncategorized variable placeholder portion of the pattern. The search query is categorized by assigning, to the search query, a category associated with the first portion of the search query. Search results are generated for the search query using the category associated with the first portion of the search query.

Identification of intent and non-intent query portions

Methods and systems for improved categorization of queries are disclosed. In one aspect, first queries having query results limited to a particular category are identified. Second queries including a first query are also identified. For identified second queries, a pattern is generated based on the second query and the included first query, and a rank of the first query's particular category in results for the second query and a percentage of the second query's results having a category equivalent to the included first query's particular category are determined. The ranks and percentages are aggregated for matching patterns, and second patterns with aggregated ranks and percentages meeting a criterion are determined. Results for a third query are limited to a category equivalent to a particular category for a first query included in the third query, and then transmitted over a computer network to a client device.

A query for one or more resources is received. One or more tokens associated with the query is identified based on running the query through a learning model. The one or more tokens correspond to one or more terms that the query shares context similarity to based on a history of user selections. One or more search result candidates are scored based at least on the context similarity between the one or more tokens and the query.

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San Jose, CA, United States of America

Anthony Robert Bell