Abstract: A method and an apparatus of screening samples, and a method and an apparatus of searching for service object data are provided. The method of screening samples includes setting up a plurality of screening layers; selecting training samples needed by a current screening layer in the plurality of screening layers; extracting target sample features suitable for the current screening layer from the training samples; determining a screening quantity suitable for the current screening layer using the target sample features; and screening target samples based on the target sample features and the screening quantity. The embodiments of the present disclosure can adaptively adjust respective screening quantities of various screening layers, and can maximally optimize resources, thus balancing effects and performance.

Abstract: In a process of determining search results based on a search keyword, objects related to the search keyword are determined from extension objects having an association relationship with an object for which a user conducts a historical behavior, and are used as a part of the search results. Therefore, the search results are close to the user's behavioral habits and accurate for the user.

Abstract: After multiple objects related to a keyword are found, presentation values of the objects are calculated by combining multiple similarity measures between the objects and a historical behavior object of a user, and the objects are presented according to the presentation values of the objects. The similarity measures use the historical behavior object of the user as a reference, and the presentation values consider similarity degrees between to-be-presented objects and the historical behavior object of the user from multiple perspectives; therefore, a search result is coincident with the behavior habit of the user.

Abstract: A method and an apparatus of screening samples, and a method and an apparatus of searching for service object data are provided. The method of screening samples includes setting up a plurality of screening layers; selecting training samples needed by a current screening layer in the plurality of screening layers; extracting target sample features suitable for the current screening layer from the training samples; determining a screening quantity suitable for the current screening layer using the target sample features; and screening target samples based on the target sample features and the screening quantity. The embodiments of the present disclosure can adaptively adjust respective screening quantities of various screening layers, and can maximally optimize resources, thus balancing effects and performance.

Abstract: Performing a query includes receiving a user input, determining a first set of query keywords based at least in part on the user input, obtaining, based on at least some of the first set of query keywords, a user feedback log that includes historical query results, determining a second set of query keywords based on the user feedback log, and making a query based on at least some of the second set of query keywords.

Abstract: Performing a query includes receiving a user input, determining a first set of query keywords based at least in part on the user input, obtaining, based on at least some of the first set of query keywords, a user feedback log that includes historical query results, determining a second set of query keywords based on the user feedback log, and making a query based on at least some of the second set of query keywords.

Abstract: Performing a query includes receiving a user input, determining a first set of query keywords based at least in part on the user input, obtaining, based on at least some of the first set of query keywords, a user feedback log that includes historical query results, determining a second set of query keywords based on the user feedback log, and making a query based on at least some of the second set of query keywords.

Abstract: Performing a query includes receiving a user input, determining a first set of query keywords based at least in part on the user input, obtaining, based on at least some of the first set of query keywords, a user feedback log that includes historical query results, determining a second set of query keywords based on the user feedback log, and making a query based on at least some of the second set of query keywords.