Google Inc.

Outlier Ai, Inc.

Michael Kim

Sepandar D Kamvar

Robert Spiro

Damon M Horowitz

Max Ventilla

Winton Henry Ellis Davies

William C MacCartney

Hetul Patel

Anthony Watkins

Christopher Cranley

Douglas Mitarotonda

Mark Phuong

Sean Byrnes

Jacob Topper

Carla Nunes

Michael Rollins

Claire L Byrne

James T Malone

Doug Mitarotonda

A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.

System, apparatus, and method to identify intelligence using a data processing platform

A system and method for selecting tailored information to present to a subscriber, including receiving subscriber data, determining an analysis set based on the subscriber data, extracting abstract parameters from the subscriber data, selecting an analysis from the analysis set based on a general model and the abstract parameters, and presenting the selected analysis to the subscriber.

Systems and methods for intelligence delivery

A system and method for implementing a cloud-based data processing platform for identifying intelligence information and insights based on data from a plurality of data sources includes: receiving a plurality of data stream; normalizing each of a plurality of data points in the plurality of data streams; analyzing the normalized data points and associated meta data information; identifying relationships between at least two sets of the normalized data points; and identifying intelligence information and insights based on statistical attributes of the normalized data and identified relationships between them; converting the identified intelligence information and insights into one or more stories; and communicating the one or more stories to a user interface.

Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving aggregate user data, the aggregate user data corresponding to response rate of one or more answering users responding to requests, processing the aggregate user data to generate an analytical model, the analytical model describing a probability that an average answering user will respond to a request based on response rates of one or more time intervals, receiving a request, identifying a plurality of answering users, processing the analytical model to identify a sub-set of answering users of the plurality of answering users, and transmitting the request to each answering user of the sub-set of answering users.

Generating models based on response rates of users/experts using probabilities, and random numbers

Methods, systems, and apparatus, including computer programs, for a social search engine. In one aspect, a method includes receiving an answer to a question from an answerer; identifying an entity in the answer, in which the entity refers to a product, a service, a company, or a merchant; obtaining permission from the answerer to provide an interactive link for the entity in the answer to a resource from which the entity can be obtained; receiving a user submitted query and determining that the query is related to the entity; and responsive to determining, providing the answer, including the link to the resource, as part of search results that are responsive to the query.

Social search engine

Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving aggregate user data, the aggregate user data corresponding to response rate of one or more answering users responding to requests, processing the aggregate user data to generate one or more analytical models, each of the one or more analytical models providing a plurality probabilities that an average answering user will respond to a request, each probability of the plurality of probabilities corresponding to a particular time period during a day, receiving a request, determining a time corresponding to the request, identifying a plurality of answering users, processing the one or more analytical models based on the time to identify a sub-set of answering users of the plurality of answering users, and transmitting the request to each answering user of the sub-set of answering users.

Adaptive contact window wherein the probability that an answering user/expert will respond to a question corresponds to the answering users having response rates that are based on the time of day

Question and answer system wherein experts are associated with models and have response rates that are associated with time intervals

Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving aggregate user data, the aggregate user data corresponding to response rate of one or more answering users responding to requests, processing the aggregate user data to generate an analytical model, the analytical model comprising a plurality of states, a plurality of transitions between states, and data corresponding to a probability that an average answering user will respond to a request based on at least one of a state of the average answering user and a transition between states, receiving a request, identifying a plurality of answering users, processing the analytical model to identify a sub-set of answering users of the plurality of answering users, and transmitting the request to each answering user of the sub-set of answering users.

User behavior based contact decisions

Growing community of inventors

Walnut Creek, CA, United States of America

Michael Kim