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1. 发明申请

US20200184377A1 Using Machine Learning to Predict Outcomes for Documents 审中-公开
公开(公告)号：US20200184377A1
公开(公告)日：2020-06-11
申请号：US16794532
申请日：2020-02-19
申请人： Textio, Inc.
发明人： Kieran Snyder , Robert E. Kolba, JR. , Jensen Harris
IPC分类号： G06N20/00 , H04L12/58 , G06F16/31 , G06F40/253
摘要： Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.

2. 发明申请

US20220156643A1 Using Machine Learning to Predict Outcomes for Documents 有权
公开(公告)号：US20220156643A1
公开(公告)日：2022-05-19
申请号：US17587270
申请日：2022-01-28
申请人： Textio, Inc.
发明人： Kieran Snyder , Robert E. Kolba, JR. , Jensen Harris
IPC分类号： G06N20/00 , H04L51/52 , G06F16/31 , G06F40/253
摘要： Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.

3. 发明授权

US11270229B2 Using machine learning to predict outcomes for documents 有权
公开(公告)号：US11270229B2
公开(公告)日：2022-03-08
申请号：US16794532
申请日：2020-02-19
申请人： Textio, Inc.
发明人： Kieran Snyder , Robert E. Kolba, Jr. , Jensen Harris
IPC分类号： G06F17/28 , G06F17/24 , G06F17/21 , G06F17/30 , G06Q30/02 , G06Q10/10 , G06F15/18 , G06N20/00 , H04L51/52 , G06F16/31 , G06F40/253
摘要： Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.

4. 发明授权

US10607152B2 Using machine learning to predict outcomes for documents 有权
公开(公告)号：US10607152B2
公开(公告)日：2020-03-31
申请号：US15161151
申请日：2016-05-20
申请人： Textio, Inc.
发明人： Kieran Snyder , Robert E. Kolba, Jr. , Jensen Harris
IPC分类号： G06F17/28 , G06F17/24 , G06F17/21 , G06F17/30 , G06Q30/02 , G06Q10/10 , G06F15/18 , G06N20/00 , H04L12/58 , G06F16/31 , G06F17/27
摘要： Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.

5. 发明申请

US20160350672A1 Using Machine Learning to Predict Outcomes for Documents 审中-公开
标题翻译：使用机器学习预测文档的结果
公开(公告)号：US20160350672A1
公开(公告)日：2016-12-01
申请号：US15161151
申请日：2016-05-20
申请人： Textio, Inc.
发明人： Kieran Snyder , Robert E. Kolba, JR. , Jensen Harris
IPC分类号： G06N7/00 , G06N99/00 , H04L12/58
CPC分类号： G06N20/00 , G06F16/313 , G06F17/274 , H04L51/32
摘要： Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.
摘要翻译：生成文档的评估，指出文件实现其目标的可能性。评估基于客户文件的一个或多个结果的预测特征，指示文档是否将实现其目标。具体来说，服务器从客户端设备接收文档。服务器从文档中提取一组功能。文档的评估是根据文档的一个或多个结果的预测特征生成的。生成的评估被提供给客户端设备，使得文档可被优化以实现其期望的目标。优化的文档也可以被发送到发布服务器以发布到计算机网络。优化文档的已知结果通过读者对文档的回复进行收集，并进行分析，以改进对其他文档的评估。

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