公开(公告)号：US20240346084A1

公开(公告)日：2024-10-17

申请号：US18398495

申请日：2023-12-28

Applicant: Roku, Inc.

Inventor： Kapil Kumar ,  Abhishek Majumdar ,  Danish Shaikh ,  Nitish Aggarwal ,  Srimaruti Manoj Nimmagadda ,  Aniruddha Das

IPC: G06F16/9035 ,  G06F16/9038 ,  G06F40/40

CPC classification number: G06F16/9035 ,  G06F16/9038 ,  G06F40/40

Abstract: Disclosed are system, method and/or computer program product embodiments that retrieve items for a user based on a query using a two-tower deep machine learning model. An example embodiment provides input to a context tower, wherein the input includes the query and one or more of a query embedding corresponding to the query or a graph user embedding corresponding to the user. The context tower generates a context embedding in a vector space based on the input. The model determines a measure of similarity between the context embedding and each of a plurality of item embeddings in the vector space that are generated by an item tower and represent a plurality of candidate items. A relevancy score is calculated for each candidate item based on the measure of similarity between the context embedding and the corresponding item embedding. The relevancy scores are used for item retrieval and/or ranking.

公开(公告)号：US12153588B2

公开(公告)日：2024-11-26

申请号：US18167724

申请日：2023-02-10

Applicant: ROKU, INC.

Inventor： Peter Martigny ,  Fedor Bartosh ,  Danish Shaikh ,  Vinh Nguyen ,  Manasi Deshmukh ,  Ratul Ray ,  Nitish Aggarwal ,  Srimaruti Manoj Nimmagadda ,  Kapil Kumar ,  Sameer Girolkar

IPC: G06F16/2457 ,  G06F16/242 ,  G06F16/9535

Abstract: A content retrieval system may receive a query associated with a plurality of content items in a repository. For each content item of the plurality of content items: a respective first and second similarity score may be generated based on a similarity between embeddings indicative of a first and second data type generated from the query and for the content item; and a respective normalized similarity score may be generated based on a combination of the respective first and second similarity scores. A set of content items with respective normalized similarity scores that satisfy a similarity score threshold may be identified. An exact-match (lexical) search may yield respective mapping scores for content items that may also be ranked. An output indicative of content items that are identified in the set of content items with high-ranking similarity scores and identified in the set of content items with high-ranking mapping scores.

公开(公告)号：US20250036638A1

公开(公告)日：2025-01-30

申请号：US18911887

申请日：2024-10-10

Applicant: ROKU, INC.

Inventor： Peter Martigny ,  Fedor Bartosh ,  Danish Shaikh ,  Vinh Nguyen ,  Manasi Deshmukh ,  Ratul Ray ,  Nitish Aggarwal ,  Srimaruti Manoj Nimmagadda ,  Kapil Kumar ,  Sameer Girolkar

IPC: G06F16/2457 ,  G06F16/242 ,  G06F16/9535

Abstract: A content retrieval system may receive a query associated with a plurality of content items in a repository. For each content item of the plurality of content items: a respective first and second similarity score may be generated based on a similarity between embeddings indicative of a first and second data type generated from the query and for the content item; and a respective normalized similarity score may be generated based on a combination of the respective first and second similarity scores. A set of content items with respective normalized similarity scores that satisfy a similarity score threshold may be identified. An exact-match (lexical) search may yield respective mapping scores for content items that may also be ranked. An output indicative of content items that are identified in the set of content items with high-ranking similarity scores and identified in the set of content items with high-ranking mapping scores.