公开(公告)号：US20230214434A1

公开(公告)日：2023-07-06

申请号：US17978864

申请日：2022-11-01

Applicant: NETFLIX, INC.

Inventor： Weidong ZHANG ,  Sudarshan D. LAMKHEDE ,  Michael Albert GALASSI ,  Aisha Jackson Lei FENTON ,  Yi ZHANG ,  Fang LI ,  Sudeep DAS ,  Ivan PROVALOV ,  Gary YEH

IPC: G06F16/9538 ,  G06F40/284 ,  G06N5/02

CPC classification number: G06F16/9538 ,  G06F40/284 ,  G06N5/022

Abstract: In various embodiments, structured pages are dynamically generated based on user inputs. In response to a user input such as a query, a page generating engine ranks content items according to relevance to the user input in order to generate a list of the content items that is ordered based on the relevance. The page generating engine further maps the content items to collections of content items that can be displayed together in a page. Then, the page generating engine generates a structured page that includes a subset of the collections and associated content items that are assigned to collections within the subset of collections based on relevance and/or coherence criteria. Thereafter, the structured page is transmitted to a client device for display via user interface.

公开(公告)号：US20230388596A1

公开(公告)日：2023-11-30

申请号：US18325959

申请日：2023-05-30

Applicant: NETFLIX, INC.

Inventor： Moumita BHATTACHARYA ,  Sudarshan Dnyaneshwar LAMKHEDE ,  Christoph KOFLER ,  Kelley Jean ROBINSON ,  Yi ZHANG

IPC: H04N21/466 ,  H04N21/25 ,  H04N21/482

CPC classification number: H04N21/4668 ,  H04N21/251 ,  H04N21/4826

Abstract: In various embodiments, an in-session recommendation application generates recommendations for users during streaming sessions. The in-session recommendation application generates a set of feature values for a set of features associated with a trained machine learning model based on user interactions that have occurred via a graphical user interface (GUI) during a current streaming session. The in-session recommendation application executes the trained machine learning model on at least the set of feature values and a first feature value associated with a first item to generate a first score. The in-session recommendation application generates a recommendation based on the first score and at least a second score that is associated with both a second item and the user interactions. The in-session recommendation application displays the recommendation within the GUI.

公开(公告)号：US20230334055A1

公开(公告)日：2023-10-19

申请号：US18299674

申请日：2023-04-12

Applicant: NETFLIX, INC.

Inventor： Sudeep DAS ,  Ivan Gennadievich PROVALOV ,  Weidong ZHANG ,  Yi ZHANG

IPC: G06F16/2457 ,  G06F16/28

CPC classification number: G06F16/24578 ,  G06F16/285

Abstract: In various embodiments, an intent-based query processing application processes search queries. The intent-based query processing application computes lexical similarity scores between a search query and a set of entities. The intent-based query processing application computes entity relevance scores based on the lexical similarity scores and user engagement scores associated with both the search query and the set of entities. The intent-based query processing application computes a first category relevance score associated with both the search query and a first category based on the entity relevance scores. The intent-based query processing application determines an intent associated with the search query based on the first category relevance score. The intent-based query processing application generates a response to the search query based on the intent.