Facebook, Inc.

Meta Platforms, Inc.

Sarah Hum

Lei Guang

Jeremy Harrison Goldberg

Mikhail Larionov

Henri Romeo Liriani

Chih Shao Lee

Zhisheng Huang

Robert Michael Baldwin

Andrew Nolan Rasmussen

Arturo J Esquivel Chambergo

Tatiana Janov Grossman

Ursula Anne Lim

Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Techniques for messaging bot controls based on machine-learning user intent detection

A server sends, to an electronic device of a first user, a data structure that includes a hierarchical interaction tree having a plurality of interaction nodes. The server then receives, from the electronic device of the first user, a first message, wherein the first message from the electronic device of the first user is selected from a set of predefined first-reply messages. Each first-reply message of the set of predefined first-reply messages corresponds to a distinct interaction node of the hierarchical interaction tree.

Device, method, and graphical user interface for managing customer relationships using a lightweight messaging platform

An electronic device of a second user receives, from a first user, a first message. Subsequent to receiving the first message, the electronic device sends, to the first user, a second message responsive to the first message, wherein the second message is selected from a set of predefined first-reply messages. The set of predefined first-reply messages is based on first-reply factors for the second user, including content from one or more messages between the first user and the second user, and including one or more of: relationship characteristics between the first user and the second user, information provided by the first user and/or the second user to a social network, profile characteristics of the first user and/or the second user, environmental characteristics of the first user and/or the second user, and/or technical characteristics of the electronic device of the first user and/or the second user.

Device, method, and graphical user interface for lightweight messaging

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San Francisco, CA, United States of America

Sarah Hum