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    • 3. 发明申请
    • CONVERSATION ASSISTANT
    • 对话助理
    • US20160135025A1
    • 2016-05-12
    • US14881116
    • 2015-10-12
    • ANGEL.COM INCORPORATED
    • Ahmed Tewfik BouzidPrasanna Sajeewa Naleen PereraDavid James RennysonMichael Jerry SaylorAshwini Swaroop Reddy DulamJonathan Hotz
    • H04W4/18H04M3/493H04W4/00H04M3/42
    • H04W4/18G06Q30/0631H04M3/42153H04M3/42178H04M3/42204H04M3/4936H04M2201/39H04M2201/40H04M2203/252H04M2203/253H04M2203/355H04M2250/74H04W4/60
    • Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A service or a product that is likely to be of interest to the user is identified by the remote learning engine based on the accessed usage data. A recommended voice bundle application for the user is determined by the remote learning engine based on the accessed usage data, the recommended voice bundle application being a voice application that, when executed by the telephonic device, results in a simulated multi-step spoken conversation between the telephonic device and the user to enable the user to receive the identified service or the identified product. A recommendation associated with the recommended voice bundle application is transmitted from the remote learning engine to the telephonic device. The recommendation is presented by the telephonic device to the user through voice communications. The user through voice communications has accepted the recommendation determining is determined by the telephonic device. In response to determining that the user has accepted the recommendation, the recommended voice bundle application on the telephonic device is executed by the telephonic device.
    • 与电话设备的用户相关联的使用数据由远程学习引擎访问。 远程学习引擎基于所访问的使用数据来识别可能对用户感兴趣的服务或产品。 由远程学习引擎基于所访问的使用数据来确定用户的推荐语音束应用程序,所推荐的语音包应用程序是语音应用程序,当由电话设备执行时,语音应用程序导致模拟的多步语音对话 电话设备和用户使得用户能够接收所识别的服务或所识别的产品。 与推荐的语音包应用相关联的建议从远程学习引擎发送到电话设备。 通过语音通信,电话设备向用户呈现该建议。 通过语音通信的用户已接受推荐确定由电话设备确定。 响应于确定用户已经接受推荐,电话设备上的推荐语音包应用由电话设备执行。
    • 4. 发明授权
    • Conversation assistant
    • 对话助理
    • US09160844B2
    • 2015-10-13
    • US13731688
    • 2012-12-31
    • Angel.com Incorporated
    • Ahmed Tewfik BouzidPrasanna Sajeewa Naleen PereraDavid James RennysonMichael Jerry SaylorAshwini Swaroop Reddy DulamJonathan Hotz
    • H04M1/64H04M3/42H04M3/493
    • H04W4/18G06Q30/0631H04M3/42153H04M3/42178H04M3/42204H04M3/4936H04M2201/39H04M2201/40H04M2203/252H04M2203/253H04M2203/355H04M2250/74H04W4/60
    • Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A service or a product that is likely to be of interest to the user is identified by the remote learning engine based on the accessed usage data. A recommended voice bundle application for the user is determined by the remote learning engine based on the accessed usage data, the recommended voice bundle application being a voice application that, when executed by the telephonic device, results in a simulated multi-step spoken conversation between the telephonic device and the user to enable the user to receive the identified service or the identified product. A recommendation associated with the recommended voice bundle application is transmitted from the remote learning engine to the telephonic device. The recommendation is presented by the telephonic device to the user through voice communications. The user through voice communications has accepted the recommendation determining is determined by the telephonic device. In response to determining that the user has accepted the recommendation, the recommended voice bundle application on the telephonic device is executed by the telephonic device.
    • 与电话设备的用户相关联的使用数据由远程学习引擎访问。 远程学习引擎基于所访问的使用数据来识别可能对用户感兴趣的服务或产品。 由远程学习引擎基于所访问的使用数据来确定用户的推荐语音束应用程序,所推荐的语音包应用程序是语音应用程序,当由电话设备执行时,语音应用程序导致模拟的多步语音对话 电话设备和用户使得用户能够接收所识别的服务或所识别的产品。 与推荐的语音包应用相关联的建议从远程学习引擎发送到电话设备。 通过语音通信,电话设备向用户呈现该建议。 通过语音通信的用户已接受推荐确定由电话设备确定。 响应于确定用户已经接受推荐,电话设备上的推荐语音包应用由电话设备执行。