Facebook, Inc.

Meta Platforms, Inc.

Willy Blandin

Laurent Nicolas Landowski

Kemal El Moujahid

Alexandre Lebrun

Robert Franklin Daniel

Jeremy Harrison Goldberg

Yoram Talmor

Henri Romeo Liriani

Stepan Parunashvili

Deniz Demir

Martin Jean Raison

Andreea-Loredana Crisan

Heath William Black

Exemplary embodiments relate to techniques for suggesting bots or mini-apps in a messaging service that provide capabilities related to an ongoing conversation. A suggestion may be added proactively or reactively. In a reactive scenario, the system may respond to an express request to suggest a response or capability, such as by an explicit command. In the proactive scenario, the messaging service may analyze the messages of the conversation, and may suggest a response or capability based on an intent identified in the messages. Examples of suggestions include starting a poll, adding stickers to the conversation, group coordination and planning capabilities, etc. Suggestions such as these allow a user to make use of various capabilities provided by the messaging service, even if the user does not know that the service exists, or how to invoke it.

Proactive and reactive suggestions for a messaging system

Techniques for intent-based search for bots are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive a plurality of bot capability catalogs for a plurality of bots at a bot-service system, wherein each of the plurality of bot capability catalogs expresses bot capability in natural language for an associated bot; a client communication component operative to receive a user service prompt from a user client device, the user service prompt expressed in natural language; and identify one or more selected bots to the user client device in response to receiving the user service prompt from the user client device; and an interaction processing component operative to determine the one or more selected bots of the plurality of bots by matching the user service prompt against the plurality of bot capability catalogs. Other embodiments are described and claimed.

Techniques for intent-based search for bots

Techniques to response to respond to user requests using natural-language machine learning based on branching example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions, including one or more branching example user-to-bot interactions; and an interaction processing component operative to generate a linearized example-interaction repository by replacing the one or more branching example user-to-bot interactions with the plurality of linearized example user-to-bot interactions; submit the example-interaction repository to a natural-language machine learning component; and receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and a client communication component operative to perform a user-to-bot conversation based on the sequence model. Other embodiments are described and claimed.

Techniques to respond to user requests using natural-language machine learning based on branching example conversations

Techniques to response to user requests using natural-language machine learning based on example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions; and an interaction processing component operative to submit the example-interaction repository to a natural-language machine learning component; receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and perform a user-to-bot conversation based on the sequence model. Other embodiments are described and claimed.

Techniques to respond to user requests using natural-language machine learning based on example conversations

The present disclosure relates to systems, methods, and devices for providing personal assistant service via messaging. In particular, one or more embodiments receive a request for personal assistant service in an electronic message from a user, assign the request to an agent, determine an intent of the request, and configure an agent user interface to include one or more options in accordance with the determined intent of the request.

Providing personal assistant service via messaging

Techniques to configure a web-based application for bot configuration are described. In one embodiment, an apparatus may comprise a web application hosting component operative to receive a bot-configuration request from a web client, the bot-configuration request corresponding to a developer account for a bot system; and provide a web-based application to the web client; and a web-application preparation component operative to prepare the web-based application for the web client, the web-based application comprising a simulated user environment interface, a code development interface, and a natural-language-processing log interface, wherein the simulated user environment interface corresponds to a user interface for the bot system. Other embodiments are described and claimed.

Growing community of inventors

San Francisco, CA, United States of America

Willy Blandin