公开(公告)号：US20160132788A1

公开(公告)日：2016-05-12

申请号：US14731445

申请日：2015-06-05

Applicant: XEROX CORPORATION

Inventor： Juan Li ,  Sumit Bhatia ,  Chandrima Sarkar

IPC: G06N99/00 ,  G06N5/04

CPC classification number: G06N99/005 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for creating a classifier for predicting a personality type of users. The method includes receiving a first tag for messages, from a crowdsourcing platform. The first tag relates to personality type of users. Further, the messages, tagged with first tag are segregated into a training data and a testing data. Further, parameters associated with set of messages in the training data are determined based on type of messages. Further, classifiers are trained for a personality type. Further, a second tag for set of messages in testing data is predicted using trained classifiers for a combination of parameters. A performance of classifiers is determined by comparing the second tag and the first tag associated with set of messages in the testing data. A classifier is selected from classifiers, which is indicative of a best combination of parameters to predict personality type of users.

Abstract translation: 所公开的实施例示出了用于创建用于预测用户的个性类型的分类器的方法和系统。 该方法包括从众包平台接收消息的第一标签。 第一个标签涉及用户的个性类型。 此外，用第一标签标记的消息被分离成训练数据和测试数据。 此外，基于消息的类型确定与训练数据中的消息集相关联的参数。 此外，分类器是针对个性类型进行训练的。 此外，使用用于参数组合的训练分类器来预测用于测试数据中的消息集合的第二标签。 分类器的性能通过比较第二标签和与测试数据中的消息集相关联的第一标签来确定。 从分类器中选择分类器，这表示预测用户个性类型的参数的最佳组合。

公开(公告)号：US20160110653A1

公开(公告)日：2016-04-21

申请号：US14518674

申请日：2014-10-20

Applicant: Xerox Corporation

Inventor： Diane Marie Foley ,  Juan Li ,  Bryan R. Dolan ,  Vladislav Skorokhod ,  Brian Robert Conrow ,  Connie Treese Gaylord

IPC: G06N7/00 ,  G06N99/00

CPC classification number: G06N7/005

Abstract: A method, non-transitory computer readable medium, and apparatus for predicting a service call for digital printing equipment from a customer are disclosed. For example, the method detects a triggering event based upon a number of detections of an event on a digital printing equipment exceeding a threshold within a predefined time period, wherein the number of detected events on the digital printing equipment exceeding the threshold within the predefined time period is indicative of an impending soft failure, calculates a probability that the customer will place the service call due to the impending soft failure within a second predefined period of time based on a fusion of a hazard model of the digital printing equipment, a customer behavior model and the number of detections of the event in response to the triggering event being detected and determines an action based upon the probability using a cost based utility function.

Abstract translation: 公开了一种用于从客户预测数字打印设备的服务呼叫的方法，非暂时计算机可读介质和装置。 例如，该方法基于在预定时间段内超过阈值的数字打印设备上的事件的检测次数来检测触发事件，其中数字打印设备上检测到的事件的数量超过预定时间内的阈值 时间段表示即将发生的软故障，计算出客户将在第二预定义时间段内由于即将发生的软故障而将服务呼叫放置在基于数字打印设备的危险模型的融合，客户行为 模型和响应于检测到触发事件的事件的检测次数，并且使用基于成本的效用函数来确定基于概率的动作。

公开(公告)号：US10013659B2

公开(公告)日：2018-07-03

申请号：US14731445

申请日：2015-06-05

Applicant: XEROX CORPORATION

Inventor： Juan Li ,  Sumit Bhatia ,  Chandrima Sarkar

IPC: G06N99/00 ,  G06Q50/00

CPC classification number: G06N20/00 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for creating a classifier for predicting a personality type of users. The method includes receiving a first tag for messages, from a crowdsourcing platform. The first tag relates to personality type of users. Further, the messages, tagged with first tag are segregated into a training data and a testing data. Further, parameters associated with set of messages in the training data are determined based on type of messages. Further, classifiers are trained for a personality type. Further, a second tag for set of messages in testing data is predicted using trained classifiers for a combination of parameters. A performance of classifiers is determined by comparing the second tag and the first tag associated with set of messages in the testing data. A classifier is selected from classifiers, which is indicative of a best combination of parameters to predict personality type of users.

公开(公告)号：US09046854B2

公开(公告)日：2015-06-02

申请号：US13929760

申请日：2013-06-27

Applicant: XEROX CORPORATION

Inventor： Ming Yang ,  Diane M. Foley ,  William K. Stumbo ,  Juan Li

IPC: G03G15/08 ,  G03G15/00

CPC classification number: G03G15/556 ,  G03G15/0856

Abstract: An apparatus and method of predicting the end of life of a consumable. A basic weighted least squares algorithm has been extended and augmented to compensate for observed common consumable/printer behavior. The system uses consumable usage data (such as toner level) acquired from the device to predict the current and future consumable level and to predict the remaining life. The apparatus and method monitors the consumable's usage and updates the prediction so that when the predicted remaining life matches a preset threshold, it automatically triggers an order placement event to ship product to customer.

Abstract translation: 预测消耗品寿命结束的装置和方法。 基本的加权最小二乘法算法已被扩展和扩充，以补偿观察到的常见消耗品/打印机行为。 该系统使用从设备获取的消耗性使用数据（例如墨粉量）来预测当前和未来的消耗品级别并预测剩余寿命。 该装置和方法监测消耗品的使用情况并更新预测，使得当预测的剩余寿命与预设阈值相匹配时，其自动触发订单放置事件以将产品运送给顾客。