公开(公告)号：US20240378213A1

公开(公告)日：2024-11-14

申请号：US18195041

申请日：2023-05-09

Applicant: ROKU, INC.

Inventor： KAPIL KUMAR ,  RAHUL AGARWAL ,  THANH DANG ,  RATUL RAY ,  DANISH SHAIKH ,  SRIMARUTI MANOJ NIMMAGADDA

IPC: G06F16/25 ,  G06F16/2457 ,  G06F16/248 ,  G06N3/08

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for ranking a plurality of content items for presentation to a user. An embodiment generates a ranking score for each content item by: providing input to a deep machine learning (ML) model, the input including at least one or more query features and one or more content item features, determining, by the deep ML model and based at least on the input, a first probability of a first type of interaction between the user and the content item and a second probability of a second type of interaction between the user and the content item, and calculating the ranking score for the content item based at least on the first and second probabilities. An embodiment ranks the content items for presentation based on the ranking score associated with each content item.

公开(公告)号：US20240273105A1

公开(公告)日：2024-08-15

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

CPC classification number: G06F16/24578 ,  G06F16/243 ,  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.