-
公开(公告)号：US11645095B2
公开(公告)日：2023-05-09
申请号：US17475145
申请日：2021-09-14
Applicant: Adobe Inc.
Inventor： Jayant Kumar , Manasi Deshmukh , Ming Liu , Ashok Gupta , Karthik Suresh , Chirag Arora , Jing Zheng , Ravindra Sadaphule , Vipul Dalal , Andrei Stefan
Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate a digital knowledge graph based on a plurality of tutorial content items to generate recommendations of digital resource items. Specifically, the disclosed system extracts a plurality of tasks, subject categories related to the tasks, and context signals related to an environment for the tasks from a plurality of tutorial content items for one or more digital content editing applications. The disclosed system generates a digital knowledge graph including nodes corresponding to the tasks and subject categories connected via edges based on relationships extracted from the tutorial content items. In some embodiments, the disclosed system also includes nodes corresponding to digital resource items in the digital knowledge graph or in a subgraph. The disclosed system utilizes the digital knowledge graph with context data to provide a recommendation of digital resource items for display at a client device.
-
公开(公告)号：US20240248900A1
公开(公告)日：2024-07-25
申请号：US18157185
申请日：2023-01-20
Applicant: Adobe Inc.
Inventor： Sanat Sharma , Tracy Holloway King , Ravindra Sadaphule , Josep Valls Vargas , Francois Guerin , Chirag Arora , Arpita Agrawal
IPC: G06F16/2457
CPC classification number: G06F16/24578
Abstract: Techniques for correcting misspelled user queries of in-application searches are described as implemented by a user query processing system, which is configured to receive a user query entered via a search feature of an application, and identify a misspelled token in the user query. Candidate tokens to replace the misspelled token are identified from a collection of tokens, and a ranking of the candidate tokens is generated using machine learning. A token is selected from the candidate tokens based on the ranking, and the selected token is output by the user query processing system.
-
公开(公告)号：US20230080407A1
公开(公告)日：2023-03-16
申请号：US17475145
申请日：2021-09-14
Applicant: Adobe Inc.
Inventor： Jayant Kumar , Manasi Deshmukh , Ming Liu , Ashok Gupta , Karthik Suresh , Chirag Arora , Jing Zheng , Ravindra Sadaphule , Vipul Dalal , Andrei Stefan
Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate a digital knowledge graph based on a plurality of tutorial content items to generate recommendations of digital resource items. Specifically, the disclosed system extracts a plurality of tasks, subject categories related to the tasks, and context signals related to an environment for the tasks from a plurality of tutorial content items for one or more digital content editing applications. The disclosed system generates a digital knowledge graph including nodes corresponding to the tasks and subject categories connected via edges based on relationships extracted from the tutorial content items. In some embodiments, the disclosed system also includes nodes corresponding to digital resource items in the digital knowledge graph or in a subgraph. The disclosed system utilizes the digital knowledge graph with context data to provide a recommendation of digital resource items for display at a client device.
-
-
Search Results
3
records
(took 0.013 seconds)
