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    • 1. 发明授权
    • Online archiving of message objects
    • 在线归档消息对象
    • US08131809B2
    • 2012-03-06
    • US12327419
    • 2008-12-03
    • Ashish ConsulRajasi Saha
    • Ashish ConsulRajasi Saha
    • G06F15/16
    • H04L51/18G06Q10/107H04L51/22
    • This disclosure is directed to automatically moving message objects, such as email message objects, from online source mailbox databases to online archive mailbox databases. As described herein, each email message in a source mailbox database is directly or indirectly associated with a retention policy tag. The retention policy tag associated with a message object in a source mailbox database specifies a retention period. The message object remains in source mailbox database until the retention period expires for the message object. When the retention period for the message object expires, the message object is automatically moved to an archive mailbox database.
    • 本公开涉及将消息对象(例如电子邮件消息对象)自动地从在线源邮箱数据库移动到在线归档邮箱数据库。 如本文所述,源邮箱数据库中的每个电子邮件消息与保留策略标签直接或间接相关联。 与源邮箱数据库中的消息对象关联的保留策略标签指定保留期限。 消息对象保留在源邮箱数据库中,直到消息对象的保留期到期。 当消息对象的保留期限到期时,消息对象将自动移动到归档邮箱数据库。
    • 3. 发明申请
    • MACHINE-BASED LEARNING FOR AUTOMATICALLY CATEGORIZING DATA ON PER-USER BASIS
    • 基于机器的学习,在每个用户基础上自动分类数据
    • US20090319456A1
    • 2009-12-24
    • US12142747
    • 2008-06-19
    • Ashish ConsulHarvey RookRajasi SahaShengquan Yan
    • Ashish ConsulHarvey RookRajasi SahaShengquan Yan
    • G06F15/18
    • H04L51/12G06N99/005
    • Architecture that employs machine-based learning to automatically categorize data on a per-user basis. Auto-tagging reduces the burden on infoworkers by creating a machine learning model to learn from user tagging behavior or preferences. Once this information is obtained, a trained model for this specific user is used to assign tags to incoming data, such as emails. The architecture finds particular applicability to compliance and message retention policies that otherwise would mandate extra work for the infoworker. The architecture learns the tagging behavior of a user and uses this learned behavior to automatically tag data based on the user's prior tagging habits. A regression algorithm is employed to process the training data according to an n-dimensional framework for prediction and application of the tag(s) to the incoming messages.
    • 采用基于机器学习的架构可以在每个用户的基础上自动分类数据。 自动标记可以通过创建机器学习模型来减轻对信息收集者的负担,从而吸取用户标签行为或偏好。 一旦获得了这个信息,就可以使用这个特定用户的经过训练的模型来为传入的数据(如电子邮件)分配标签。 该体系结构特别适用于合规性和邮件保留策略,否则这些策略将为infoworker增加额外的工作。 架构学习用户的标记行为,并使用此学习行为根据用户的先前标记习惯自动标记数据。 采用回归算法根据n维框架来处理训练数据,用于对输入消息进行标签的预测和应用。
    • 4. 发明授权
    • Machine-based learning for automatically categorizing data on per-user basis
    • 基于机器的学习,可以根据用户自动对数据进行分类
    • US08682819B2
    • 2014-03-25
    • US12142747
    • 2008-06-19
    • Ashish ConsulHarvey RookRajasi SahaShengquan Yan
    • Ashish ConsulHarvey RookRajasi SahaShengquan Yan
    • G06F15/18
    • H04L51/12G06N99/005
    • Architecture that employs machine-based learning to automatically categorize data on a per-user basis. Auto-tagging reduces the burden on infoworkers by creating a machine learning model to learn from user tagging behavior or preferences. Once this information is obtained, a trained model for this specific user is used to assign tags to incoming data, such as emails. The architecture finds particular applicability to compliance and message retention policies that otherwise would mandate extra work for the infoworker. The architecture learns the tagging behavior of a user and uses this learned behavior to automatically tag data based on the user's prior tagging habits. A regression algorithm is employed to process the training data according to an n-dimensional framework for prediction and application of the tag(s) to the incoming messages.
    • 采用基于机器学习的架构可以在每个用户的基础上自动分类数据。 自动标记可以通过创建机器学习模型来减轻对信息收集者的负担,从而吸取用户标签行为或偏好。 一旦获得了这个信息,就可以使用这个特定用户的经过训练的模型来为传入的数据(如电子邮件)分配标签。 该体系结构特别适用于合规性和邮件保留策略,否则这些策略将为infoworker增加额外的工作。 架构学习用户的标记行为,并使用此学习行为根据用户的先前标记习惯自动标记数据。 采用回归算法根据n维框架来处理训练数据,用于对输入消息进行标签的预测和应用。
    • 5. 发明申请
    • RETENTION POLICY TAGS FOR DATA ITEM EXPIRATION
    • 数据项目过期的保留政策标签
    • US20090177704A1
    • 2009-07-09
    • US11971895
    • 2008-01-09
    • Ashish ConsulRajasi SahaHarvey Rook
    • Ashish ConsulRajasi SahaHarvey Rook
    • G06F12/00
    • G06Q10/107
    • Architecture for retention policy tagging of data items such as messages for expiring data items without data reorganization. Retention policy tags can be applied to items, conversations, folders, and/or distribution lists, for example. Retention policy tags provide a way to manage (e.g., expire) data items such as email, for example, and reduce the corporate burden for compliance in documents of all types. Tags can be applied to data items individually and in-place, and do not impose changes to the natural workflow of the user. The use of expiry policy tags provides a solution by removing the pain point around physically moving messages to an unfamiliar folder hierarchy.
    • 用于保留策略标记数据项的架构,例如用于在没有数据重组的情况下到期的数据项的消息。 保留策略标签可以应用于项目,对话,文件夹和/或通讯组列表。 保留策略标签提供了管理(例如,到期)诸如电子邮件的数据项的方式,并且减少了所有类型的文档中的合规负担。 标签可以单独和就地应用于数据项,也不要对用户的自然工作流程进行更改。 使用到期策略标签通过消除将消息物理移动到不熟悉的文件夹层次结构的痛点来提供解决方案。
    • 6. 发明申请
    • Online Archiving of Message Objects
    • 在线归档消息对象
    • US20100138500A1
    • 2010-06-03
    • US12327419
    • 2008-12-03
    • Ashish ConsulRajasi Saha
    • Ashish ConsulRajasi Saha
    • G06F15/16
    • H04L51/18G06Q10/107H04L51/22
    • This disclosure is directed to automatically moving message objects, such as email message objects, from online source mailbox databases to online archive mailbox databases. As described herein, each email message in a source mailbox database is directly or indirectly associated with a retention policy tag. The retention policy tag associated with a message object in a source mailbox database specifies a retention period. The message object remains in source mailbox database until the retention period expires for the message object. When the retention period for the message object expires, the message object is automatically moved to an archive mailbox database.
    • 本公开涉及将消息对象(例如电子邮件消息对象)自动地从在线源邮箱数据库移动到在线归档邮箱数据库。 如本文所述,源邮箱数据库中的每个电子邮件消息与保留策略标签直接或间接相关联。 与源邮箱数据库中的消息对象关联的保留策略标签指定保留期限。 消息对象保留在源邮箱数据库中,直到消息对象的保留期到期。 当消息对象的保留期限到期时,消息对象将自动移动到归档邮箱数据库。