公开(公告)号：US20160267637A1

公开(公告)日：2016-09-15

申请号：US14656390

申请日：2015-03-12

Applicant: YAHOO! INC.

Inventor： Jenhao Hsiao ,  Jia Li

IPC: G06T7/00 ,  G06F17/30 ,  G06K9/62 ,  G06Q30/02

CPC classification number: G06F16/24578 ,  G06F16/56 ,  G06F16/5854 ,  G06F16/951 ,  G06K9/00624 ,  G06K9/4628 ,  G06K9/6271 ,  G06Q30/0256

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a search system supported by or configured with search servers or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of results data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a Deep Fast Search (DFS) that improves content search accuracy that executes independent of the search database, while achieving an increased content retrieval speed. The disclosed systems and methods employ two complementary deep feature searches: 1) a coarse deep feature search and a 2) fine deep feature search. Thus, the disclosed systems and methods employ a coarse-to-fine strategy that embodies the efficiency and cost effectiveness of the coarse deep feature search and the accuracy of the fine deep feature search.

Abstract translation: 公开了用于改善由搜索服务器或平台支持或配置的搜索系统中的计算机之间的交互作用的系统和方法。 系统进行交互以识别和检索跨平台的数据，哪些数据可用于提高用于处理这些系统中处理器之间的交互的结果数据的质量。 所公开的系统和方法提供深度快速搜索（DFS），其提高独立于搜索数据库执行的内容搜索精度，同时实现增加的内容检索速度。 所公开的系统和方法采用两个互补的深度特征搜索：1）粗略的深度特征搜索和2）精细深度特征搜索。 因此，所公开的系统和方法采用粗略到精细的策略，其体现粗略特征搜索的效率和成本效益以及精细深度特征搜索的准确性。