公开(公告)号：US20240348843A1

公开(公告)日：2024-10-17

申请号：US18442784

申请日：2024-02-15

Applicant: Rovi Guides, Inc.

Inventor： Madhusudhan Srinivasan ,  Piar Chand ,  Labhala Gowtham ,  Durga Prasad Pulicharla ,  Aditya Rautray ,  Deviprasad Punja

IPC: H04N21/234 ,  H04N21/218 ,  H04N21/231 ,  H04N21/4363 ,  H04N21/81

CPC classification number: H04N21/23424 ,  H04N21/21825 ,  H04N21/23106 ,  H04N21/812 ,  H04N21/43637

Abstract: The systems and methods described herein optimize the retrieval of missed content by playing back cached content to enable tuners with limited capacity to retrieve the missed content. A content presentation system may receive, with a tuner, a transmission of content comprising media content and advertisements. The content presentation system may cache the advertisements. The content presentation system may determine whether an interruption during the transmission resulted in a missed portion of content and, in response, determine whether an advertisement upcoming at a time period in the transmission of content is cached. If the upcoming advertisement is cached, the content presentation system may play back the cached advertisement at the time period and release the tuner previously receiving the transmission of content to retrieve the missed portion of the content during the time period.

公开(公告)号：US12108100B2

公开(公告)日：2024-10-01

申请号：US18220459

申请日：2023-07-11

Applicant: Rovi Guides, Inc.

Inventor： Deviprasad Punja ,  Madhusudhan Srinivasan ,  Alan Waterman

IPC: H04N21/25 ,  G06N3/044 ,  G06N3/08 ,  H04N21/258

CPC classification number: H04N21/251 ,  G06N3/044 ,  G06N3/08 ,  H04N21/25883 ,  H04N21/25891

Abstract: A method for generating a content depiction of particular content that includes a machine learning system programmed to receive profile data representing preferences for content. The machine learning system identifies preferences for content features based upon the profile data, accesses content data representing the particular content and other content, and classifies features of the content data and content structure data within a content structure database system according to content categories. The machine learning system generates a content structure depiction of the particular content by combining content structure data from the content structure database system, wherein the combining is based upon correlating the identified preferences of the profile with the classified content categories. The machine learning system receives feedback data responsive to the content depiction and reprograms a configuration of the machine learning system for generating a content depiction based upon the feedback data.

公开(公告)号：US12079271B2

公开(公告)日：2024-09-03

申请号：US18197572

申请日：2023-05-15

Applicant: Rovi Guides, Inc.

Inventor： Durga Prasad Pulicharla ,  Madhusudhan Srinivasan

IPC: G06F3/048 ,  G06F3/04883 ,  G06F16/732 ,  G06F16/738 ,  G06F16/783

CPC classification number: G06F16/738 ,  G06F3/04883 ,  G06F16/7328 ,  G06F16/783

Abstract: Methods and systems for auto-populating image metadata are described herein. The system receives or accesses an image. The system then generates a link to a video having a frame that corresponds to the image. To generate the link, the system searches for a video having a frame comprising a portion of the image and generates the link such that the link comprises a timestamp of the frame. The system then modifies the metadata of the image to include the link. Once a user interaction with the image is detected, the system may follow the link to generate for display the video beginning at the timestamp.

公开(公告)号：US20240291787A1

公开(公告)日：2024-08-29

申请号：US18656939

申请日：2024-05-07

Applicant: Rovi Guides, Inc.

Inventor： Vijay Kumar ,  Rajendran Pichaimurthy ,  Madhusudhan Srinivasan

IPC: H04L51/212 ,  G06Q50/00 ,  H04L51/52

CPC classification number: H04L51/212 ,  G06Q50/01 ,  H04L51/52

Abstract: Systems and methods are described herein for automatically identifying spam in social media comments based on comparison of the context or topic of the popular or trending post with the context or topic of each comment associated with the post. Content of a social media post is processed to identify a topic of the social media post. A plurality of comments associated with the social media post are accessed and the topic of each comment is compared to the topic of the social media post and, if the topics do not match, the comment is identified as spam. A notification is generated for display to an administrator of the social media platform on which the social media post resides identifying the comment as spam.

公开(公告)号：US20240220558A1

公开(公告)日：2024-07-04

申请号：US18531830

申请日：2023-12-07

Applicant: Rovi Guides, Inc.

Inventor： Siddhartha Pande ,  Deviprasad Punja ,  Madhusudhan Srinivasan

IPC: G06F16/9536 ,  G06F16/908 ,  G06F16/9535 ,  G06F16/9538

CPC classification number: G06F16/9536 ,  G06F16/908 ,  G06F16/9535 ,  G06F16/9538

Abstract: The system generates a recommendation of content for use in collaboration, allowing relevant content to be used as base content. The system identifies a content item, and retrieves reviews for the content item from one or more sources or forums. The system filters the reviews to generate a reduced set of reviews based on text of the respective reviews, profile information associated with the reviews, and reference information. A recommendation metric is determined for the content item based on the reduced set of reviews and based on the one or more recommendation criteria. The recommendation criteria specify which aspects of the content impact recommendation, and how those aspects impact recommendation. The recommendation metric indicates whether the content item is recommended as base content, to be used for generating collaborative content. The system generates a recommendation indicator indicative of the recommendation metric, and outputs the indicator for display, storage, or both.

公开(公告)号：US20240202248A1

公开(公告)日：2024-06-20

申请号：US18428133

申请日：2024-01-31

Applicant: Rovi Guides, Inc.

Inventor： Vijay Kumar ,  Rajendran Pichaimurthy ,  Madhusudhan Srinivasan ,  Gyanveer Singh

IPC: G06F16/903 ,  G06F16/9032 ,  G06F16/9038

CPC classification number: G06F16/90348 ,  G06F16/90328 ,  G06F16/90332 ,  G06F16/9038

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

公开(公告)号：US11966403B2

公开(公告)日：2024-04-23

申请号：US17694987

申请日：2022-03-15

Applicant: Rovi Guides, Inc.

Inventor： Rajendran Pichaimurthy ,  Madhusudhan Srinivasan

IPC: G06F16/2457 ,  G06F16/248 ,  G06F16/9535

CPC classification number: G06F16/24578 ,  G06F16/248 ,  G06F16/9535

Abstract: Systems and methods for debiasing a recommendation engine are disclosed herein. A search query associated with a user profile is received at a recommendation engine. Control circuitry generates a result set of items of content based on the search query and generates a bias score for a content attribute based on the result set. The control circuitry also generates a time-averaged bias score for the content attribute based on a plurality of search queries associated with the user profile. Based on the bias score and the time-averaged bias score, the control circuitry determines whether a bias is signaled for the content attribute. Finally, the control circuitry outputs, for display via a computing device, the result set or a debiased result set based on a result of the determination of whether the bias is signaled.

公开(公告)号：US11922112B2

公开(公告)日：2024-03-05

申请号：US17870184

申请日：2022-07-21

Applicant: Rovi Guides, Inc.

Inventor： Madhusudhan Srinivasan ,  Deviprasad Punja

IPC: G06F3/0486 ,  G06F16/28 ,  G06F16/955 ,  G06F40/134 ,  G06F40/295 ,  H04L51/046

CPC classification number: G06F40/134 ,  G06F16/288 ,  G06F16/9566 ,  G06F40/295 ,  H04L51/046

Abstract: The system receives a message having a sender and a recipient. The system identifies entities associated with the message and associated with any content that is associated with the message. The system determines whether to, and how to, modify the message based on relationship information among the sender, the recipient, and any entities identified in the message or components of the message. A relationship between a sender and recipient may be determined using, for example, a database of relationship information. The system modifies, for example, text, images, or video of the message to generate the personalized message. The personalized message include the original message along with context information to help indicate the relevance of the message to the recipient. The context information can include text, images, video, or other information. To illustrate, the context information can include keywords or identifiers that indicate entities associated with the message.

公开(公告)号：US11874888B2

公开(公告)日：2024-01-16

申请号：US17509722

申请日：2021-10-25

Applicant: Rovi Guides, Inc.

Inventor： Siddhartha Pande ,  Deviprasad Punja ,  Madhusudhan Srinivasan

IPC: G06F16/90 ,  G06F16/9536 ,  G06F16/908 ,  G06F16/9535 ,  G06F16/9538

CPC classification number: G06F16/9536 ,  G06F16/908 ,  G06F16/9535 ,  G06F16/9538

Abstract: The system generates a recommendation of content for use in collaboration, allowing relevant content to be used as base content. The system identifies a content item, and retrieves reviews for the content item from one or more sources or forums. The system filters the reviews to generate a reduced set of reviews based on text of the respective reviews, profile information associated with the reviews, and reference information. A recommendation metric is determined for the content item based on the reduced set of reviews and based on the one or more recommendation criteria. The recommendation criteria specify which aspects of the content impact recommendation, and how those aspects impact recommendation. The recommendation metric indicates whether the content item is recommended as base content, to be used for generating collaborative content. The system generates a recommendation indicator indicative of the recommendation metric, and outputs the indicator for display, storage, or both.

公开(公告)号：US20240004627A1

公开(公告)日：2024-01-04

申请号：US18368071

申请日：2023-09-14

Applicant: Rovi Guides, Inc.

Inventor： Deviprasad Punja ,  Madhusudhan Srinivasan

IPC: G06F8/61

CPC classification number: G06F8/61

Abstract: Systems and methods for temporarily downloading an application program from a website are disclosed herein. The website provides a feature set corresponding to an anticipated user activity and a downloadable application program. The anticipated user activity is identified based on user data corresponding to future activities of a user. A correspondence between the anticipated user activity and the website is determined and the application program is retrieved from the website and installed on the user device. In response to detecting absence of a user interaction with the application program on the user device within a predefined time period, the application program is automatically uninstalled from the user device.