公开(公告)号：US20240378371A1

公开(公告)日：2024-11-14

申请号：US18438395

申请日：2024-02-09

Applicant: Apple Inc.

Inventor： Adeeti V. ULLAL ,  Allison L. GILMORE ,  Pejman Lotfali KAZEMI ,  Yann J. RENARD ,  Hyo Jeong SHIN ,  Guanling FENG ,  Alexander G. BRUNO ,  Jaehyun BAE ,  Ayse S. CAKMAK

IPC: G06F40/166 ,  G06F3/0483 ,  G06F16/35

Abstract: The subject technology provides a framework for generating personalized and relevant content suggestions for a user of an electronic device. The system collects data from various sources, including location, motion sensors, routine places, contacts, calls, and proximity to people and devices. The collected data is analyzed using inference technology to identify patterns and anomalies. The system can detect routine activities and identify anomalies based on the duration and frequency of activities, social interactions, and changes in user behavior. The system includes modules for grouping related activities and summarizing individual events and coarse-grained activities. The system also includes a ranking algorithm that generates recommendations based on various factors such as recency, distinctiveness, media richness, and user engagement. The system further includes a method of adjusting recommendation ranking based on prior analytics and user preferences.