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1.发明授权System and method for automatically suggesting diverse and personalized message completions 有权系统和方法，用于自动建议多样化和个性化的消息完成公开(公告)号：US09161188B2
公开(公告)日：2015-10-13
申请号：US13973175
申请日：2013-08-22
Applicant: YAHOO! INC.
Inventor： Yoelle Maarek Smadja , Nadav Goldbandi
CPC classification number: G06F17/277 , G06F3/0237 , G06F3/048 , G06F17/276 , H04L51/26 , H04L67/22 , H04M1/00 , H04M2250/70 , H04W4/12 , H04W4/14
Abstract: Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.
Abstract translation: 公开了一种用于通过利用大量用户发送的消息来建议自动学习，个性化和多样化的消息的系统和方法，以便提供尽可能接近的消息完成。 所公开的系统和方法从发送到接收者的经常性消息中学习，并且基于用户行为来建议消息完成。 系统和方法在每个关键笔划或字符输入之后计算建议消息完成的排名列表，如果列表满足给定的置信度阈值，则返回并显示给用户。
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2.发明申请SYSTEM AND METHOD FOR AUTOMATICALLY SUGGESTING DIVERSE AND PERSONALIZED MESSAGE COMPLETIONS 有权自动建议多元化和个性化信息完成的系统和方法公开(公告)号：US20150058720A1
公开(公告)日：2015-02-26
申请号：US13973175
申请日：2013-08-22
Applicant: YAHOO! INC.
Inventor： Yoelle Maarek Smadja , Nadav Goldbandi
CPC classification number: G06F17/277 , G06F3/0237 , G06F3/048 , G06F17/276 , H04L51/26 , H04L67/22 , H04M1/00 , H04M2250/70 , H04W4/12 , H04W4/14
Abstract: Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.
Abstract translation: 公开了一种用于通过利用大量用户发送的消息来建议自动学习，个性化和多样化的消息的系统和方法，以便提供尽可能接近的消息完成。 所公开的系统和方法从发送到接收者的经常性消息中学习，并且基于用户行为来建议消息完成。 系统和方法在每个关键笔划或字符输入之后计算建议消息完成的排名列表，如果列表满足给定的置信度阈值，则返回并显示给用户。
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