Salesforce Com, Inc.

Other

Intuit, Inc.

Jacob Nathaniel Huffman

Zachary Alexander

Na Cheng

Sitaram Asur

Weiping Peng

Naren M Chittar

Jayesh Govindarajan

Anuprit Kale

Edgar Gerardo Velasco

Peter Francis White

Alampallam R Ramachandran

Tiffany Deiandra McKenzie

Cynthia Joann Osmon

Wolfgang Paulus

Ashlee Beggs

Anjan Goswami

Pingping Xiu

Aditya Sakhuja

Khoa Le

Son Thanh Chang

Feifei Jiang

Colleen Smith

Vishal Shah

Alejandro Gabriel Perez Rodriguez

Greg Victor Bertoldo

Diane L Weiss

Ziwei Chen

Nandini Suresh Kumar

Suhas Satish

Christopher Larry

A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.

Method and system for service agent assistance of article recommendations to a customer in an app session

Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.

Dynamic field value recommendation methods and systems

A data processing system analyzes a corpus of conversation data collected at an interactive conversation service to train an intent classification model. The intent classification model generates vectors based on the corpus of conversation data. A set of intents is selected and an intent seed input for each intent of the set of intents is input into the model to generate an intent vector corresponding to each intent. Vectors based on user inputs are generated and compared to the intent vectors to determine the intent.

Intent classification system

A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

Response recommendation system

A system including a location tracking device, a security device, and a computer processor and memory. The memory stores instructions that, when executed, cause the computer processor to perform the steps of obtaining a pre-determined service subscription record identifying a service provider carrying the location tracking device for performing a pre-determined service at a pre-determined location and at a pre-determined time, receiving an identifier transmitted by the location tracking device to detect an arrival of the location tracking device to the pre-determined location, obtaining, in response to detecting the arrival, a timestamp representing when the location tracking device arrives at the pre-determined location, generating, in response to detecting the arrival, a match by comparing the identifier and the timestamp to the pre-determined service subscription record, and deactivating, in response to generating the match and detecting the arrival, the security device to allow the service provider entering the pre-determined location.

Integrated property service management system

A personalized financial podcast generation system, the system includes a user data module configured to acquire user data associated with a user and analyze the user data to identify a keyword associated with a financial topic of interest to the user. The system also includes a keyword analyzer configured to calculate a weight of the keyword. The system further includes a content analyzer configured to identify financial media content based on the keyword and the weight. Moreover, the system includes a summarizer configured to identify a relevant sentence in the financial media content. In addition, the system includes a speech processor configured to synthesize speech based on the relevant sentence.

Methods, systems and computer program products for generating personalized financial podcasts

Growing community of inventors

Oakland, CA, United States of America

Jacob Nathaniel Huffman