公开(公告)号：US10970289B2

公开(公告)日：2021-04-06

申请号：US15160743

申请日：2016-05-20

Applicant: Adobe Inc.

Inventor： Tommaso Teofili ,  Michael Marth

IPC: G06F16/2457 ,  G06F16/248

Abstract: Certain embodiments involve ranking search results from an information retrieval system using user query data to provide relevant search results to users of the information retrieval system. For example, a system determines a weight factor associated with a first user that provides a query to the information retrieval system based on a type or role of the first user. The system further determines a boost factor associated with the first user based on the weight factor and a number of consecutive search queries provided by the user. The system uses the boost factor to automatically tune a ranking algorithm to adjust a rank of a search result item resulting from a search query provided by a second user.

公开(公告)号：US10430689B2

公开(公告)日：2019-10-01

申请号：US15680282

申请日：2017-08-18

Applicant: Adobe Inc.

Inventor： Zhe Lin ,  Stefan Guggisberg ,  Jonathan Brandt ,  Michael Marth

IPC: G06K9/00 ,  G06K9/62

Abstract: This disclosure relates to training a classifier algorithm that can be used for automatically selecting tags to be applied to a received image. For example, a computing device can group training images together based on the training images having similar tags. The computing device trains a classifier algorithm to identify the training images as semantically similar to one another based on the training images being grouped together. The trained classifier algorithm is used to determine that an input image is semantically similar to an example tagged image. A tag is generated for the input image using tag content from the example tagged image based on determining that the input image is semantically similar to the tagged image.