Oracle International Corporation

Apttus Corporation

Wer.ai, Inc.

Ci4 Technologies, Inc.

Man Chan

Guohan Gao

Kendra Mariko Chen

Abe Taha

Aleksandar Mastilovic

Neehar Giri

Stanley K Poon

Kirk G Krappé

Geeta Deodhar

Elliott Yama

Isabelle Chai

Rahul Choudhry

Kitae Kim

Brian Li

A method, system, and computer program product for managing user identification codes in an interne advertising environment. One aspect implements a system including a database engine to store a plurality of signals comprising characteristics and/or values received from a user device. A user ID generator calculates collision statistics and/or fragmentation statistics to form a first mapping function that is in turn used to generate a plurality of identification codes based at least in part a first set of selected signals. A calibration module produces measurements determined from collision quantities and/or fragmentation quantities using the first mapping function, wherein the measurements are determined by comparing the plurality of identification codes to entries in a known ID database. A sequencing module generates updated sequences of mapping functions.

Tunable statistical ids

A method, system, and computer program product for managing user identification codes in an internet advertising environment. One aspect implements a system including a database engine to store a plurality of signals comprising characteristics and/or values received from a user device. A user ID generator calculates collision statistics and/or fragmentation statistics to form a first mapping function that is in turn used to generate a plurality of identification codes based at least in part a first set of selected signals. A calibration module produces measurements determined from collision quantities and/or fragmentation quantities using the first mapping function, wherein the measurements are determined by comparing the plurality of identification codes to entries in a known ID database. A sequencing module generates updated sequences of mapping functions.

Tunable statistical IDs

The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Real-time and computationally efficient prediction of values for a quote variable in a pricing application

Systems and methods for generating prebuilt machine learning framework objects comprising sets of prebuilt machine learning components and one or more data mapping requirements. The components are associated with a respective machine learning service. One or more datasets are obtained. A user-specified context for creating a particular machine learning application is obtained. A particular prebuilt object is selected based on the datasets and the context. One more candidate data mappings are identified based on the data mapping requirements and the datasets. A particular data mapping is selected. A particular set of prebuilt components is selected from the plurality of prebuilt components. The particular machine learning application is generated from the particular prebuilt object based on the particular data mapping and the particular set of prebuilt components, the particular machine learning application comprising an executable application. The machine learning application is deployed.

Systems and methods for generating machine learning applications

Network users are authorized individual access during a log-on session to encrypted content on content media at the user without the necessity of individualizing the content media for the particular user. The content may comprise multimedia data. The content media, which may be mass produced and distributed, includes a computer program which generates a unique configuration identifier upon instantiation of the program to begin a user access session. The program creates a virtual directory structure for the content that is uniquely determined for that session by the configuration identifier. The configuration identifier is uploaded to a remote server which uses the configuration identifier with other information identifying the content media and the user authorize user access. The remote server creates and downloads to a browser of the user an encrypted message containing URLs for accessing the content in the virtual directory structure and containing transformations of a decryption algorithm and decryption keys for the encrypted content. Encrypted multimedia content selected by the user is stored in a temporary file, decrypted in a moving time window, and rendered After rendering, the decrypted portion of the temporary file is scrambled to preclude further access.

Remote access authorization of local content

Growing community of inventors

San Jose, CA, United States of America

Man Chan