Salesforce, Inc. patent applications on May 30th, 2024
Patent Applications by Salesforce, Inc. on May 30th, 2024
Salesforce, Inc.: 6 patent applications
Salesforce, Inc. has applied for patents in the areas of G06F40/40 (4), G06T11/00 (2), H04L67/306 (2), G06N20/00 (2), G06F40/279 (2)
With keywords such as: database, user, communication, data, platform, related, filtered, minting, frequent, and channel in patent application abstracts.
Patent Applications by Salesforce, Inc.
20240176630.MACHINE LEARNING FOR TARGETING HELP CONTENT_simplified_abstract_(salesforce, inc.)
Inventor(s): Andrew Timmons of Emeryville CA (US) for salesforce, inc., Fiona Condon of Brooklyn NY (US) for salesforce, inc., Joel Bartlett of Manhattan NY (US) for salesforce, inc., Elijah Joseph-Young of Oakville (CA) for salesforce, inc., Jason Kranker of Medfield MA (US) for salesforce, inc., Mihailo Milic of Mississauga (CA) for salesforce, inc., Shreya Mohan Shetty of Palo Alto CA (US) for salesforce, inc.
IPC Code(s): G06F9/451
CPC Code(s):
Abstract: media, methods, and systems of recommending personalized help content within a group-based communication system. a machine learning model trained with prior user interaction data and historical user engagement data is used to generate a list of recommended help content based at least in part on received user interaction data for a user.
Inventor(s): Ihor MOCHURAD of Ottawa (CA) for salesforce, inc., Dai Duong Doan of Alameda CA (US) for salesforce, inc., Manisha CHAURASIA of Herndon VA (US) for salesforce, inc.
IPC Code(s): G06F16/23
CPC Code(s):
Abstract: disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a push strategy in a database system. a filtered subscription associated with a topic channel is received from a client subscriber, where the topic channel is associated with one or more topics, and where the filtered subscription can include a query that indicates values of one or more database fields for which database record data is requested. database records associated with the topic channel are identified from a transaction log. the database records are further filtered according to the filtered subscription such that a set of filtered database records are obtained. the filtered database records are transmitted via a publisher to the subscriber without receiving a request from the subscriber.
Inventor(s): Aaron Josephus Maurer of McLean VA (US) for salesforce, inc., Katherine Jane Steigman of San Leandro CA (US) for salesforce, inc., Olivia Diane Grace of San Francisco CA (US) for salesforce, inc., Sohom Paul of Sugar Land TX (US) for salesforce, inc., McKenna Lowry of Valhalla NY (US) for salesforce, inc., Michael Hahn of San Francisco CA (US) for salesforce, inc., Jacquelyn Elizabeth Rocca of San Francisco CA (US) for salesforce, inc., Kelly Holmes Moran of Brooklyn NY (US) for salesforce, inc., Zachary Alan Kaarvik of New Westminster (CA) for salesforce, inc., Leonard Jackson Shearer of San Francisco CA (US) for salesforce, inc., David Barrett-Kahn of New York City NY (US) for salesforce, inc., Wii Yatani of Roslyn NY (US) for salesforce, inc., Omar Lee of Berkeley CA (US) for salesforce, inc., Curtis Neil Allen, JR. of Denver CO (US) for salesforce, inc.
IPC Code(s): G06F40/40, G06F16/34, H04L65/403
CPC Code(s):
Abstract: techniques for transcribing and/or summarizing multimedia collaboration sessions are discussed herein. for example, users can communicate within a teleconferencing meeting associated with a channel. in some examples, a first machine learning model may be configured to receive audio-visual data and user interaction data (e.g., selected emojis, detected gestures, messages or text input by a user, a thread of messages, etc.) and output a teleconferencing meeting summary. in some examples, the teleconferencing meeting summary can include one or more highlights, action items, and/or artificial intelligence (ai) notes generated using a machine learning model(s).
Inventor(s): Gary BRANDELEER of San Francisco CA (US) for salesforce, inc., Prithvi Krishnan PADMANABHAN of San Francisco CA (US) for salesforce, inc., Avanthika RAMESH of San Francisco CA (US) for salesforce, inc.
IPC Code(s): G06Q20/36, G06Q20/38, G06Q20/40
CPC Code(s):
Abstract: a first instruction to deploy to a blockchain a smart contract that includes a minting function may be transmitted from a database system. the minting function may include an authorization portion that permits token minting only when a request is received from a requestor associated with a role for which token minting is authorized. a second instruction to record on the blockchain an association between a public key for an intermediary wallet, a unique identifier for the smart contract, and an intermediary minting role may also be transmitted from the database system. a transaction in which a designated token was minted to a designated wallet based on a request received in association with the intermediary wallet may be identified at the database system. the transaction may be authorized based on an application of the public key to information included in the request.
Inventor(s): Aaron Maurer of New York NY (US) for salesforce, inc., Lichen Ni of Vancouver (CA) for salesforce, inc., Kyle Jablon of Long Island City NY (US) for salesforce, inc., Ryan Slama of Brooklyn NY (US) for salesforce, inc., Jake Polacek of San Francisco CA (US) for salesforce, inc.
IPC Code(s): G06T11/00, G06F3/04817, G06F3/0482, G06F3/0484, G06F40/30, G06F40/40
CPC Code(s):
Abstract: techniques for generating graphical elements via a communication platform are discussed herein. for example, one or more machine-learning models associated with a communication platform may be configured to receive, as input and from a user of the communication platform, a sentiment and/or a graphical element. the machine-learning model may be trained, using prior natural language statements and prior confidence levels associated with previous graphical elements, to output one or more graphical elements associated with the input. the one or more graphical elements may be shared via the communication platform and used to accurately and effectively convey thoughts, emotions, reactions, and ideas, for example.
20240179193.CHANNEL RECOMMENDATIONS USING MACHINE LEARNING_simplified_abstract_(salesforce, inc.)
Inventor(s): Aaron Maurer of New York NY (US) for salesforce, inc., Fiona Condon of Brooklyn NY (US) for salesforce, inc., Kyle Jablon of Long Island City NY (US) for salesforce, inc., Maxwell Hayman of Mill Valley CA (US) for salesforce, inc., Lichen Ni of Vancouver (CA) for salesforce, inc., Huai Yu Frederick Huang of Hillsborough CA (US) for salesforce, inc.
IPC Code(s): H04L65/401, G06F40/279, G06N20/00, H04L67/306
CPC Code(s):
Abstract: techniques for generating user profile data including one or more frequent channels, related users, and/or related topics within a communication platform are discussed herein. in some examples, a machine-learning model can receive user interaction data (messages sent, messages read, channel posts, documents shared, frequent key words used, etc.) associated with the communication platform and output one or more frequent channels, related users, and/or related topics. the communication platform may then associate the one or more frequent channels, related users, and/or related topics with the user's profile data. in some examples, the communication platform may present different frequent channels, related users, and/or related topics associated with a profile page based on interaction action associated with the user account viewing the profile page.
