Invention Grant
- Patent Title: Emoji frequency detection and deep link frequency
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Application No.: US16159481Application Date: 2018-10-12
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Publication No.: US10454962B2Publication Date: 2019-10-22
- Inventor: Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudiger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: H01L29/06
- IPC: H01L29/06 ; G06N20/00 ; G06F17/27 ; G06F17/22 ; G06F21/62 ; H04L29/06

Abstract:
Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
Public/Granted literature
- US20190068628A1 EMOJI FREQUENCY DETECTION AND DEEP LINK FREQUENCY Public/Granted day:2019-02-28
Information query
IPC分类: