基本信息:
- 专利标题： EMOJI FREQUENCY DETECTION AND DEEP LINK FREQUENCY
- 申请号：US16159481 申请日：2018-10-12
- 公开(公告)号：US20190068628A1 公开(公告)日：2019-02-28
- 发明人： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudiger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
- 申请人： Apple Inc.
- 主分类号： H04L29/06
- IPC分类号： H04L29/06 ; G06F21/62 ; G06F17/27 ; G06N99/00 ; G06F17/22
摘要：
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.
公开/授权文献:
- US10454962B2 Emoji frequency detection and deep link frequency 公开/授权日：2019-10-22