公开(公告)号：US20250086246A1

公开(公告)日：2025-03-13

申请号：US18774733

申请日：2024-07-16

Applicant: Google LLC

Inventor： Srinivas Varanasi ,  Nidhi Gupta ,  Abhinav Khandelwal ,  Alper Halbutogullari ,  Andreas Born ,  Dongcai Shen ,  Siva Kumar Gorantla ,  JYoung S Kim

IPC: G06F16/958 ,  G06N20/00

Abstract: Methods, computing systems, and technology for optimizing a landing page of a website are presented. The system can receive, from a user device, a first web address associated with a first webpage of the website. The system can process, using the machine-learned assessment model, the first webpage to generate a first landing page score. The system can determine, based on the first landing page score and using a machine-learned optimization model, an actionable suggestion associated with the landing page. The system can cause, on a display of the user device, a presentation of the actionable suggestion.

公开(公告)号：US20250061312A1

公开(公告)日：2025-02-20

申请号：US18764501

申请日：2024-07-05

Applicant: Google LLC

Inventor： Matthias Heiler ,  Sylvanus Garnet Bent, III ,  Mehmet Levent Koc ,  Snehal Sunilkumar Motarwar ,  Aravindan Raghuveer ,  Saachi Grover ,  Nidhi Gupta ,  Preksha Nema ,  Durga Deepthi Singh Sharma ,  Abhinav Khandelwal

IPC: G06N3/0475

Abstract: Example aspects of the present disclosure provide an example method. In some implementations, the example method can include receiving request data indicating a request for content. In some implementations, the example method can include determining a request context associated with the request data, wherein the request context is based on account data for a user device associated with the request. In some implementations, the example method can include determining, based on the request and the request context, a data object from a knowledge graph, wherein the data object comprises a subject and one or more attributes for the subject. In some implementations, the example method can include generating, using a machine-learned content generation model, content descriptive of the subject, the content generated based on the request, the request context, and the data object.