Abstract: Providing search results is disclosed. A search query is received and a plurality of preprocessing functions to be performed on the search query is determined based at least in part on a search label corresponding to the search query. The plurality of preprocessing functions is performed on the search query to obtain a plurality of preprocessed search queries. Based at least in part on precision levels associated with the plurality of preprocessed search queries, a search plan comprising a selected preprocessed search query is generated. The search plan is input to the search engine to obtain the search results.

Abstract: Various embodiments of a method, system, and apparatus related to query based on vertical search are disclosed. In one aspect, a method of query based on vertical search receives a user query. The method obtains a first category model from a category model warehouse based on the user query to generate a first query result. The first category model includes one or more commodity categories that correspond to one or more keywords in the user query. The method also obtains one or more commodity categories corresponding to the user query from a commodity warehouse to generate a second query result. The method further generates a final query result by combining the first query result and the second query result.

Abstract: Various embodiments of a method, system, and apparatus related to query based on vertical search are disclosed. In one aspect, a method of query based on vertical search receives a user query. The method obtains a first category model from a category model warehouse based on the user query to generate a first query result. The first category model includes one or more commodity categories that correspond to one or more keywords in the user query. The method also obtains one or more commodity categories corresponding to the user query from a commodity warehouse to generate a second query result. The method further generates a final query result by combining the first query result and the second query result.

Abstract: Providing search results includes: receiving a search query; determining a plurality of preprocessing functions to be performed on the search query, based at least in part on a search label corresponding to the search query; performing the plurality of preprocessing functions on the search query to obtain a plurality preprocessed search queries; generating, based at least in part on precision levels associated with the plurality of preprocessed search queries, a search plan comprising a selected preprocessed search query; and inputting the search plan to the search engine to obtain the search results.

Abstract: Providing search results is disclosed. A search query is received and a plurality of preprocessing functions to be performed on the search query is determined based at least in part on a search label corresponding to the search query. The plurality of preprocessing functions is performed on the search query to obtain a plurality of preprocessed search queries. Based at least in part on precision levels associated with the plurality of preprocessed search queries, a search plan comprising a selected preprocessed search query is generated. The search plan is input to the search engine to obtain the search results.

Abstract: Various embodiments of a method, system, and apparatus related to query based on vertical search are disclosed. In one aspect, a method of query based on vertical search receives a user query. The method obtains a first category model from a category model warehouse based on the user query to generate a first query result. The first category model includes one or more commodity categories that correspond to one or more keywords in the user query. The method also obtains one or more commodity categories corresponding to the user query from a commodity warehouse to generate a second query result. The method further generates a final query result by combining the first query result and the second query result.

Abstract: Providing search results includes: receiving a search query; determining a plurality of preprocessing functions to be performed on the search query, based at least in part on a search label corresponding to the search query; performing the plurality of preprocessing functions on the search query to obtain a plurality preprocessed search queries; generating, based at least in part on precision levels associated with the plurality of preprocessed search queries, a search plan comprising a selected preprocessed search query; and inputting the search plan to the search engine to obtain the search results.