公开(公告)号：US20250080804A1

公开(公告)日：2025-03-06

申请号：US18457003

申请日：2023-08-28

Applicant: Snap Inc.

Inventor： Nathan Kenneth Boyd ,  Daniel Vincent Grippi ,  David Phillip Taitz ,  Xingnan Xia ,  Daniel Moreno Cuellar

IPC: H04N21/4788 ,  H04N21/231 ,  H04N21/431

Abstract: Methods and systems are disclosed for sharing collections of content items in chat sessions. The methods and systems receive a request to share a first content item and present a GUI comprising a first set of options and a second set of options, the first set of options being associated with adding the first content item to a collection of content items that is accessible to a plurality of recipients, the second set of options being associated with sending the first content item to individual recipients. The methods and systems determine a set of target recipients of the first content item and select a content sharing link between a first link to the collection of content items and a second link directly to the first content item. The methods and systems send, to a target recipient, the content sharing link that has been selected.

公开(公告)号：US20250055823A1

公开(公告)日：2025-02-13

申请号：US18796947

申请日：2024-08-07

Applicant: Snap Inc.

Inventor： Isabelle Albi ,  Daniel Moreno Cuellar ,  David Phillip Taitz ,  Jeremy Baker Voss ,  Xingnan Xia

IPC: H04L51/216

Abstract: A method and system for identifying and displaying a messaging application user's top groups based on their activity levels are disclosed. The messaging application tracks messaging interactions initiated by a user to multiple user groups over a predetermined time period. The application assigns a score to each group based on attributes of the interactions such as type, frequency, and recency. The groups are ranked based on the scores, and a subset of top scoring groups is selected. These top groups are displayed in the messaging interface in a dedicated region, allowing quick access to recent highly-engaged groups. The top groups may be displayed alongside individual contacts identified as best friends. Users can customize graphical icons associated with each top group. The techniques rely on observed user interaction patterns to identify meaningful top groups specific to each user.