公开(公告)号：US20240214619A1

公开(公告)日：2024-06-27

申请号：US18089343

申请日：2022-12-27

Applicant: ROKU, INC.

Inventor： FEI XIAO ,  RONICA JETHWA ,  JING YE ,  ABHISHEK BAMBHA ,  ZIDONG WANG ,  JOSE SANCHEZ ,  NAM VO ,  KHALDUN AIDARABSAH ,  PULKIT AGGARWAL ,  LIAN LIU ,  ANIRBAN DAS ,  ROHIT MAHTO

IPC: H04N21/25 ,  H04N21/24 ,  H04N21/472

CPC classification number: H04N21/252 ,  H04N21/2407 ,  H04N21/472

Abstract: A set of content items can be accessed by a community of users having a set of interests. A set of interest based clusters for the set of content items correspond to the set of interests. For a user, a recommendation system can determine a group of user interest clusters selected from the set of interest based clusters. A popularity score for each content item of the set of content items with respect to the community of users can be generated, and an interest based popularity score for a content item within the interest based cluster can be generated based on a rank of the content item based on the popularity score of the content item. Recommendation candidates for the user can be generated based on the interest based popularity score of the content item for each content item in the group of user interest clusters.

公开(公告)号：US20240276041A1

公开(公告)日：2024-08-15

申请号：US18107858

申请日：2023-02-09

Applicant: ROKU, INC.

Inventor： FEI XIAO ,  PULKIT AGGARWAL ,  ABHISHEK BAMBHA ,  ANIRBAN DAS ,  RONICA JETHWA ,  LIAN LIU ,  ROHIT MAHTO ,  JOSE SANCHEZ ,  AMIT VERMA ,  NAM VO ,  YING ZHAO

IPC: H04N21/25 ,  G06N20/00 ,  H04N21/258

CPC classification number: H04N21/251 ,  G06N20/00 ,  H04N21/25883

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for reducing active user or active content category bias in content recommendation systems. An example embodiment operates by modifying a streaming event data set by selecting a voting algorithm. The voting algorithm reduces an impact of highly occurring data points by sampling the streaming event data set to generate a sampled streaming event data set, wherein the highly occurring data points comprise data points generated by the active users or the active content categories. The embodiment further trains, by a machine learning engine and based on the sampled streaming event data set, a machine learning model to generate a reduced bias content recommendation model and generates, based on the reduced bias content recommendation model, content recommendations for subsequent selection and rendering on a media device.

公开(公告)号：US20250024123A1

公开(公告)日：2025-01-16

申请号：US18895850

申请日：2024-09-25

Applicant: ROKU, INC.

Inventor： Abhishek BAMBHA ,  RONICA JETHWA ,  ROHIT MAHTO ,  NAM VO ,  FEI XIAO ,  LIAN LIU

IPC: H04N21/8549 ,  G06F16/783

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for generating trailers (previews) for multimedia content. An example aspect operates by generating an initial set of candidate points to generate a trailer for a media content; determining conversion data for each of the initial set of candidate points; determining an updated set of candidate points based on the conversion data; determining an estimated mean and upper bound for each of the updated set of candidate points; computing a value for each of the updated set of candidate points; generating a ranked list based on the value computed for each of the updated set of candidate points; and repeating the process until an optimal candidate point is converged upon.

公开(公告)号：US20240086466A1

公开(公告)日：2024-03-14

申请号：US17943526

申请日：2022-09-13

Applicant: ROKU, INC.

Inventor： FEI XIAO ,  RONICA JETHWA ,  ZIDONG WANG ,  JING LU ,  JING YE ,  NAM VO ,  JOSE SANCHEZ ,  ABHISHEK BAMBHA ,  KHALDUN AIDARABSAH

IPC: G06F16/906

CPC classification number: G06F16/906

Abstract: Disclosed herein are various embodiments, for a content display and clustering system. An example embodiment operates by receiving a request to display the plurality of content items. At each of multiple levels different pairs of content items are identified and a similarity score is computed for each pair. A subset of pairs for which their similarity score exceeds a similarity threshold for the respective level are identified and clustered. This process is repeated for one or more iterations at the same level, and then the process is repeated for each of the multiple levels. A final clustered subset is identified, and output for display, responsive to the request to display the plurality of content items.

公开(公告)号：US20240064354A1

公开(公告)日：2024-02-22

申请号：US17890491

申请日：2022-08-18

Applicant: ROKU, INC.

Inventor： FEI XIAO ,  ZIDONG WANG ,  JOSE SANCHEZ ,  ABHISHEK BAMBHA ,  RONICA JETHWA

IPC: H04N21/25 ,  H04N21/258

CPC classification number: H04N21/252 ,  H04N21/25891

Abstract: Disclosed are mechanisms for selecting a recommended item for a current item being viewed by a user account based on a view history of the user account with reduced bias. For a current item being viewed by the user account represented by a current node of a co-watch graph, embodiments can select a recommended item represented by an associated node in the co-watch graph likely being viewed by the user account, and determine a probability of the recommended item likely being viewed. The co-watch graph can be generated based on a view history of the user account. An edge between a first node and a second node of the co-watch graph can have a weight representing a number of co-occurrence times when the first item represented by the first node and the second item represented by the second node are viewed in sequence within a predetermined time interval.