公开(公告)号：US20220229830A1

公开(公告)日：2022-07-21

申请号：US17715583

申请日：2022-04-07

Applicant: Rovi Guides, Inc.

Inventor： Sashikumar Venkataraman ,  Abubakkar Siddiq ,  Ahmed Nizam Mohaideen P ,  Sankar Ardhanari

IPC: G06F16/242 ,  G10L15/22 ,  H04N21/482 ,  G06F16/9535 ,  G06F16/2457 ,  H04N21/258

Abstract: Methods and systems are provided for generating a response to a natural language query. Specifically, the natural language query is received and a query template that corresponds to the natural language query is determined. One or more search results corresponding to the natural language query are retrieved. One or more attributes associated with a user are selected based on selection criteria. Based on those attributes, a response template previously assigned to the query template is identified. A response to the natural language query is generated based on the identified response template and the retrieved one or more search results.

公开(公告)号：US20210263984A1

公开(公告)日：2021-08-26

申请号：US17239008

申请日：2021-04-23

Applicant: Rovi Guides, Inc.

Inventor： Daren Gill ,  Abubakkar Siddiq ,  Ahmed Nizam Mohaideen P. ,  China Karnati ,  Sashikumar Venkataraman ,  Sankar Ardhanari

IPC: G06F16/9535 ,  G06F16/435 ,  G06Q30/02 ,  G06Q50/00 ,  H04M1/72412 ,  H04M1/72448 ,  H04M1/72469 ,  G06F3/0481 ,  G06F3/0482 ,  G06N5/04 ,  G06Q30/00

Abstract: Methods and systems are described herein to recommend media assets to a user based on user location. A media guidance application may identify, using control circuitry, a user location. The media guidance application may generate a list of a plurality of media assets that match a user profile. The media guidance application may determine whether subject matter of a first media asset of the plurality of media assets is inconsistent with the user location. The media guidance application may remove the first media asset from the list in response to determining that the subject matter of the first media asset is inconsistent with the user location.

公开(公告)号：US20210248200A1

公开(公告)日：2021-08-12

申请号：US17245697

申请日：2021-04-30

Applicant: Rovi Guides, Inc.

Inventor： Olivier Chalouhi ,  Daren Gill ,  Sankar Ardhanari ,  Jordan Leonard Davis ,  Christopher Thun

IPC: G06F16/9535 ,  G06F16/435 ,  G06Q30/02 ,  G06Q50/00 ,  H04M1/72412 ,  H04M1/72448 ,  H04M1/72469 ,  G06F3/0481 ,  G06F3/0482 ,  G06N5/04 ,  G06Q30/00

Abstract: Systems and methods are described herein for controlling mobile devices with user equipment devices. A user equipment device may detect a mobile device is within a predetermined proximity to the user equipment device by establishing a bi-directional communication. The user equipment device may determine an input/output option of the mobile device. The input/output option may be a microphone, a cellular Internet connection, a camera, or any other sensor and/or actuator of the mobile device. The user equipment device may generate for display an icon corresponding to the input/output option of the mobile device.

公开(公告)号：US20190197012A1

公开(公告)日：2019-06-27

申请号：US15854167

申请日：2017-12-26

Applicant: Rovi Guides, Inc.

Inventor： Sankar Ardhanari ,  Sai Rahul Reddy Pulikunta ,  Sashikumar Venkataraman ,  Abubakkar Siddiq ,  Ganesh Ramamoorthy

IPC: G06F15/18 ,  G06K9/62 ,  H04N21/482 ,  G06F17/27

CPC classification number: G06N20/00 ,  G06F17/2705 ,  G06K9/6253 ,  G06K9/6256 ,  G06K9/6267 ,  H04N21/4826

Abstract: Methods and systems are disclosed herein for accurately training a machine learning model with a reduced training data set. A large number of data records may be parsed. Each record may be reduced to a set of symbols representing the composition of each record. A user may assign a classification to each symbol within each record. Records with identical arrangements and classifications of symbols may be grouped together, and a representative sample of data records from each group may be fed into the model as the reduced training data set.

公开(公告)号：US20190102620A1

公开(公告)日：2019-04-04

申请号：US15720776

申请日：2017-09-29

Applicant: Rovi Guides, Inc.

Inventor： Abubakkar Siddiq ,  Ganesh Ramamoorthy ,  Sankar Ardhanari ,  Sai Rahul Reddy Pulikunta

IPC: G06K9/00 ,  G06F17/30

Abstract: Systems and methods for detecting the semantics for columns in tabular data automatically in electronic documents. For example, a media guidance application may receive an electronic document that may contain a table relating to television program schedules. The media guidance application may then detect data rows that form the records of the table, and determine the column type for every column in the table to extract television program schedule information.

公开(公告)号：US20190087502A1

公开(公告)日：2019-03-21

申请号：US16119796

申请日：2018-08-31

Applicant: Rovi Guides, Inc.

Inventor： Sankar Ardhanari ,  Daren Gill ,  Abhijit Savarkar ,  Ganesh Ramamoorthy ,  Ajay Gupta ,  Vineet Agarwal ,  Sashikumar Venkataraman

IPC: G06F17/30 ,  G06Q30/00 ,  G06Q30/02 ,  G06Q50/00 ,  G06F3/0481 ,  G06N5/04 ,  H04M1/725 ,  G06F3/0482

Abstract: Systems and methods are described herein for updating links between keywords associated with a trending topic. Control circuitry may identify a plurality of communications associated with a plurality of users, the plurality of communications being related to a topic. The communications may comprise, for example, emails, text messages, online social media posts, websites or portions of a website, or any other online communication. The control circuitry may determine whether the topic is trending and increase a strength of association between a first symbol associated with the topic and a second symbol associated with the topic such that when a search query is received that includes the first symbol, search results related to the second symbol have a higher probability of being returned.

公开(公告)号：US20180300416A1

公开(公告)日：2018-10-18

申请号：US16008987

申请日：2018-06-14

Applicant: Rovi Guides, Inc.

Inventor： Olivier Chalouhi ,  Daren Gill ,  Sankar Ardhanari ,  Jordan Leonard Davis ,  Christopher Thun

IPC: G06F17/30 ,  H04M1/725 ,  G06Q50/00 ,  G06F3/0481 ,  G06Q30/00 ,  G06N5/04 ,  G06F3/0482 ,  G06Q30/02

Abstract: Systems and methods are described herein for controlling mobile devices with user equipment devices. A user equipment device may detect a mobile device is within a predetermined proximity to the user equipment device by establishing a bi-directional communication. The user equipment device may determine an input/output option of the mobile device. The input/output option may be a microphone, a cellular Internet connection, a camera, or any other sensor and/or actuator of the mobile device. The user equipment device may generate for display an icon corresponding to the input/output option of the mobile device.

公开(公告)号：US20170161320A1

公开(公告)日：2017-06-08

申请号：US15056828

申请日：2016-02-29

Applicant: Rovi Guides, Inc.

Inventor： Sashikumar Venkataraman ,  Abubakkar Siddiq ,  Ahmed Nizam Mohaideen P ,  Sankar Ardhanari

IPC: G06F17/30 ,  H04N21/482 ,  G10L13/04 ,  G10L13/033 ,  G10L15/18 ,  G10L15/22

CPC classification number: G06F17/30401 ,  G06F17/30528 ,  G06F17/3053 ,  G06F17/30867 ,  G10L13/033 ,  G10L13/043 ,  G10L15/18 ,  G10L15/22 ,  H04N21/25833 ,  H04N21/25841 ,  H04N21/4828

Abstract: Methods and systems are described for responding to natural language queries. Specifically a natural language query is received and a query template that corresponds to the natural language query is determined. One or more search results corresponding to the natural language query are retrieved. One or more attributes associated with the user equipment device are identified and based on those attributes a first response template associated with an audio-only response to the natural language query, a second response template associated with a visual-only response to the natural language query, or a third response template associated with an audio-visual response to the natural language query is selected. A response to the natural language query is generated based on the selected response template and the retrieved one or more search results.

公开(公告)号：US20160188729A1

公开(公告)日：2016-06-30

申请号：US14673730

申请日：2015-03-30

Applicant: Rovi Guides, Inc.

Inventor： Sankar Ardhanari ,  Daren Gill ,  Abhijit Savarkar ,  Ganesh Ramamoorthy ,  Ajay Gupta ,  Vineet Agarwal ,  Sashikumar Venkataraman

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F3/04817 ,  G06F3/0482 ,  G06F17/30029 ,  G06N5/04 ,  G06Q30/00 ,  G06Q30/0241 ,  G06Q50/01 ,  H04M1/7253 ,  H04M1/72563 ,  H04M1/72583

Abstract: Systems and methods are described herein for updating links between keywords associated with a trending topic. Control circuitry may identify a plurality of communications associated with a plurality of users, the plurality of communications being related to a topic. The communications may comprise, for example, emails, text messages, online social media posts, websites or portions of a website, or any other online communication. The control circuitry may determine whether the topic is trending and increase a strength of association between a first symbol associated with the topic and a second symbol associated with the topic such that when a search query is received that includes the first symbol, search results related to the second symbol have a higher probability of being returned.

Abstract translation: 本文描述了用于更新与趋势主题相关联的关键词之间的链接的系统和方法。 控制电路可以识别与多个用户相关联的多个通信，所述多个通信与主题相关。 通信可以包括例如电子邮件，文本消息，在线社交媒体帖子，网站或网站的部分，或任何其他在线通信。 控制电路可以确定主题是否趋向于增加与主题相关联的第一符号与与主题相关联的第二符号之间的关联强度，使得当接收到包括第一符号的搜索查询时，与 第二个符号的返回概率较高。

公开(公告)号：US20220366304A1

公开(公告)日：2022-11-17

申请号：US17683857

申请日：2022-03-01

Applicant: Rovi Guides, Inc.

Inventor： Sankar Ardhanari ,  Sai Rahul Reddy Pulikunta ,  Sashikumar Venkataraman ,  Abubakkar Siddiq ,  Ganesh Ramamoorthy

IPC: G06N20/00 ,  G06K9/62 ,  G06F40/205 ,  H04N21/482 ,  H04N21/84

Abstract: Methods and systems are disclosed herein for accurately training a machine learning model with a reduced training data set. A large number of data records may be parsed. Each record may be reduced to a set of symbols representing the composition of each record. A user may assign a classification to each symbol within each record. Records with identical arrangements and classifications of symbols may be grouped together, and a representative sample of data records from each group may be fed into the model as the reduced training data set.