Apple Inc.

Arnaud Legendre

Gaurav Kapoor

Umesh Suresh Vaishampayan

Andrew H Vyrros

Vipul Ved Prakash

Abhradeep Guha Thakurta

Steven Duplinsky

Julien Freudinger

Julien F Freudiger

Matthias Paulik

Olga Iosifovna Gurevich

Andrew M Finch

Zinaida A Pozen

Aspects of subject technology provide systems and methods for simultaneously spell-correcting and completing partial search queries being entered by a user on the user's electronic device. An apparatus such as a computing device may receive partial search queries from the user's electronic device as each character of the partial search query is entered by the user. The apparatus may utilize a machine-learning model to generate suggested queries that include spelling-corrected versions of the received partial query, query completion suggestions for the partial query, and/or spelling-corrected completion suggestions for the partial query.

Correction and completion of search queries

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.

Emoji frequency detection and deep link frequency

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San Francisco, CA, United States of America

Arnaud Legendre