公开(公告)号：US10445408B2

公开(公告)日：2019-10-15

申请号：US15061796

申请日：2016-03-04

Applicant: Adobe Inc.

Inventor： Richard Sinn ,  Thomas Donahue ,  Allan Young

IPC: G06F17/00 ,  G06F17/21 ,  G06F3/0482 ,  G06F3/0484

Abstract: Systems and methods are disclosed for identifying digital fonts. In particular, in one or more embodiments, the disclosed systems and methods detect a digital font, font characteristics, and a text structure with regard to digital text in an electronic document. Moreover, in one or more embodiments, the disclosed systems and methods utilize the detected font characteristics and text structure to search for complementary digital fonts. In particular, one or more embodiments include systems and methods that generate a search query based on determined font characteristics and/or text structures and utilize the search query to automatically identify, recommend, and provide complementary digital fonts for utilization in the electronic document.

公开(公告)号：US12061916B2

公开(公告)日：2024-08-13

申请号：US17657477

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Thomas Donahue ,  Neha Gautam ,  Kyoung Tak Kim ,  Jakub Plichta ,  Keenan Villani-Holland ,  Gabriel Palma Coelho ,  Chun Hao Wang ,  Allan Young

IPC: G06F9/451

CPC classification number: G06F9/451

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.

公开(公告)号：US20230315491A1

公开(公告)日：2023-10-05

申请号：US17657477

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Thomas Donahue ,  Neha Gautam ,  Kyoung Tak Kim ,  Jakub Plichta ,  Keenan Villani-Holland ,  Gabriel Palma Coelho ,  Chun Hao Wang ,  Allan Young

IPC: G06F9/451

CPC classification number: G06F9/451

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.