公开(公告)号：US20160357761A1

公开(公告)日：2016-12-08

申请号：US14812892

申请日：2015-07-29

Applicant: APPLE INC.

Inventor： Michael R. Siracusa ,  Rafael Cerioli ,  Edouard Godfrey ,  Joao Pedro Lacerda

IPC: G06F17/30 ,  G06F3/0484

CPC classification number: G06F16/3322 ,  G06F16/334 ,  G06N5/003 ,  G06N20/00 ,  H04L51/28 ,  H04L51/36 ,  H04M1/274583 ,  H04M1/72552 ,  H04M1/72566 ,  H04M1/72569 ,  H04M1/72572 ,  H04M2250/60

Abstract: Systems and methods are provided for suggesting recipients. After detecting user input at a device corresponding to a trigger for providing suggested recipients, contextual information of the device representing a current state of the device is determined, where the current state is defined by state variables. Tables corresponding to previous communications made using the device are populated, each of the tables corresponding to a different sub-state of the device and including contact measures of previous communications with different recipients. The state variables can be used to identify a set of the tables corresponding to the state variables. Contact measures for potential recipients are obtained from the set of tables. A total contact measure of previous communications is computed for each potential recipient. Predicted recipients to suggest are identified based on the total contact measures of the potential recipients and using criteria, and the predicted recipients are provided to the user.

Abstract translation: 提供系统和方法来建议接收者。 在检测到与用于提供建议的接收者的触发相对应的设备上的用户输入之后，确定表示设备当前状态的设备的上下文信息，其中当前状态由状态变量定义。 填充与使用设备进行的先前通信相对应的表，每个表对应于设备的不同子状态，并且包括与不同接收者的先前通信的联系测量。 状态变量可用于标识与状态变量相对应的一组表。 潜在收件人的联系方式可从表中获取。 为每个潜在接收者计算先前通信的总接触度量。 基于潜在收件人的总体联系方式和使用标准来识别预测的建议收件人，并向用户提供预测的收件人。

公开(公告)号：US20150347422A1

公开(公告)日：2015-12-03

申请号：US14455712

申请日：2014-08-08

Applicant: Apple Inc.

Inventor： Rony Fadel ,  Edouard Godfrey ,  Alexandre Carlhian

IPC: G06F17/30

CPC classification number: G06F17/30389

Abstract: A method and apparatus of a device that suggests a tokenized query completion for an input query prefix is described. In an exemplary embodiment, the device receives a query prefix from a client, wherein the query prefix includes a plurality of words. The device further generates a results set by searching a structured database using the query prefix for matches to the plurality of words in the query prefix. The device additionally determines a subset of query prefix that match specific fields of the results set by using the last N grams in the query prefix. In addition, the device ranks a tokenized query completion as a search suggestion using the query prefix, where the tokenized query completion includes a token that is a match between a matching word in the subset of query prefix and the corresponding specific field for the matching word.

Abstract translation: 描述了针对输入查询前缀建议令牌化查询完成的设备的方法和装置。 在示例性实施例中，设备从客户端接收查询前缀，其中查询前缀包括多个单词。 该设备还通过使用查询前缀搜索结构化数据库来生成结果集，以便与查询前缀中的多个单词匹配。 该设备另外通过使用查询前缀中的最后N克来确定与查询前缀匹配的特定字段的子集。 另外，设备使用查询前缀将令牌化查询完成排序为搜索建议，其中令牌化查询完成包括令牌，该令牌是查询前缀子集中的匹配字与匹配字的相应特定字段之间的匹配 。

公开(公告)号：US10275483B2

公开(公告)日：2019-04-30

申请号：US14455712

申请日：2014-08-08

Applicant: Apple Inc.

Inventor： Rony Fadel ,  Edouard Godfrey ,  Alexandre Carlhian

IPC: G06F7/00 ,  G06F17/30

Abstract: A method and apparatus of a device that suggests a tokenized query completion for an input query prefix is described. In an exemplary embodiment, the device receives a query prefix from a client, wherein the query prefix includes a plurality of words. The device further generates a results set by searching a structured database using the query prefix for matches to the plurality of words in the query prefix. The device additionally determines a subset of query prefix that match specific fields of the results set by using the last N grams in the query prefix. In addition, the device ranks a tokenized query completion as a search suggestion using the query prefix, where the tokenized query completion includes a token that is a match between a matching word in the subset of query prefix and the corresponding specific field for the matching word.

公开(公告)号：US12033049B2

公开(公告)日：2024-07-09

申请号：US18228645

申请日：2023-07-31

Applicant: Apple Inc.

Inventor： Edouard Godfrey ,  Gianpaolo Fasoli ,  Kuangyu Wang

IPC: G06F18/2415 ,  G06N20/00 ,  G06N20/20

CPC classification number: G06N20/20 ,  G06N20/00

Abstract: The subject technology receives assessment values determined by a first machine learning model deployed on a client electronic device, the assessment values being indicative of classifications of input data and the assessment values being associated with constraint data that comprises a probability distribution of the assessment values with respect to the classifications of the input data. The subject technology applies the assessment values determined by the first machine learning model to a second machine learning model to determine the classifications of the input data. The subject technology determines whether accuracies of the classifications determined by the second machine learning model conform with the probability distribution for corresponding assessment values determined by the first machine learning model. The subject technology retrains the first machine learning model when the accuracies of the classifications determined by the second machine learning model do not conform with the probability distribution.

公开(公告)号：US11715043B2

公开(公告)日：2023-08-01

申请号：US16805625

申请日：2020-02-28

Applicant: Apple Inc.

Inventor： Edouard Godfrey ,  Gianpaolo Fasoli ,  Kuangyu Wang

IPC: G06N20/20 ,  G06N20/00 ,  G06V10/00 ,  G06V10/70

CPC classification number: G06N20/20 ,  G06N20/00

Abstract: The subject technology receives assessment values determined by a first machine learning model deployed on a client electronic device, the assessment values being indicative of classifications of input data and the assessment values being associated with constraint data that comprises a probability distribution of the assessment values with respect to the classifications of the input data. The subject technology applies the assessment values determined by the first machine learning model to a second machine learning model to determine the classifications of the input data. The subject technology determines whether accuracies of the classifications determined by the second machine learning model conform with the probability distribution for corresponding assessment values determined by the first machine learning model. The subject technology retrains the first machine learning model when the accuracies of the classifications determined by the second machine learning model do not conform with the probability distribution.