Chi Y Lau

20210097098, Apr 1, 2021

Oct 16, 2020

17/073180

- Cupertino CA, US
Steve E. Marmon - Mountain View CA, US
Chi Wai Lau - Santa Clara CA, US

G06F 16/34
G06F 16/35
G06F 16/93
G06F 16/951
G06F 16/901
G06F 40/106
G06F 40/186
G06F 3/0482
G06F 3/0485
G06F 3/0488
G06Q 30/02
G06F 3/0481
G06K 9/00

Some embodiments provide a GUI for a document reader application that displays a selectable representation of content that, when selected, cause the content to be displayed in the GUI. GUI controls may be exposed in response to a user input slide operation on the selectable representation of content.

20200192954, Jun 18, 2020

Dec 10, 2019

16/708886

- Cupertino CA, US
Anil A. Sewani - Sunnyvale CA, US
Chi Wai Lau - Santa Clara CA, US
Amogh Mahapatra - Santa Clara CA, US
Gurumurthy D. Ramkumar - Palo Alto CA, US

Apple Inc. - Cupertino CA

G06F 16/9535
G06N 20/00
G06F 16/9032

In some implementations, a computing system can determine how important an investment identifier is to a content item that mentions the investment identifier. For example, a content item may describe a story, event, etc., related to an investment identifier. The content item may mention the investment identifier by mentioning the investment identifier, proxies for the investment identifier, or other equivalents associated with the investment identifier. The computing system can determine locations in the content item where the investment identifier is mentioned and/or how frequently the investment identifier is mentioned. Based on the locations and/or frequency of mentions, the computing system can determine an importance score that represents how important the investment identifier is to the story described by the content item. The importance score can be stored in metadata for the content item and used when determining which content items to present to a user.

20200193056, Jun 18, 2020

Dec 10, 2019

16/708846

- Cupertino CA, US
Anil A. Sewani - Sunnyvale CA, US
Chi Wai Lau - Santa Clara CA, US
Amogh Mahapatra - Santa Clara CA, US
Gurumurthy D. Ramkumar - Palo Alto CA, US

Apple Inc. - Cupertino CA

G06F 21/62
G06F 17/18
G06F 16/9535

In some implementations, a computing system can deliver personalized content while preserving user privacy. For example, the computing system can include a content server that filters, deduplicates, and generates clusters of content items (e.g., articles, news stories, etc.) that are relevant to an investment identifier received in a request from a client device. The content server can send the clusters of content items to the requesting client. Upon receiving the clusters of content items, requesting client device can evaluate the content items based on user preferences stored on the user device and select a representative content item from one or more content item clusters. The selected content item can then be presented on a display of the user device. Thus, personalization of content item selection and presentation can be performed without distributing user preference data outside of the user device thereby preserving user privacy.

20170357619, Dec 14, 2017

Sep 23, 2016

15/274161

- Cupertino CA, US
Steve E. Marmon - Mountain View CA, US
Chi Wai Lau - Santa Clara CA, US

G06F 17/21
G06F 17/30

Some embodiments provide a GUI for a document reader application that displays an aggregated feed with sections for different groups of personalized documents. Some embodiments provide a method for arranging documents within the different sections and for ordering the different sections within the aggregated feed. In some embodiments, the groups are dynamically generated at a device based on content (e.g., tags) of the documents.