Adobe, Inc.

Shriram Venkatesh Shet Revankar

Xuejun Xu

Kevin Gary Smith

Oliver Isaac Goldman

John Bevil Bates

Payal Bajaj

Niyati Himanshu Chhaya

Iftikhar Ahamath Burhanuddin

Tanya Goyal

Harsh Jhamtani

Sanket Vaibhav Mehta

Abhilasha Sancheti

Anandhavelu N

Matthew Keith Albright

Kushal Satya

Biswarup Bhattacharya

Embodiments relate to a smart contract platform that facilitates creation, execution and verification of customized smart contracts. The smart contract platform enables design of customized smart contracts for execution and verification on a distributed ledger network, including smart contracts with logic for querying and fetching sensitive transactional data from participant nodes. A distributed ledger can store tokens indicating successful completion of one or more transaction elements without making some or all the associated transactional data visible. A smart contract form viewer can be used to view and interact with a smart contract form linked to the smart contract. The smart contract form can present contractual provisions in natural language, present transactional data to an authorized user, and accept entry or validation of designated transaction data. As such, the smart contracts described herein provide visibility and verifiability without the lost privacy and lack of customizability that exist with present solutions.

Generating customized smart contracts

Embodiments of the present invention provide systems, methods, and computer storage media directed to a proof and attestation service that can confirm the veracity of a claim or a statement of truth based on data dynamically-retrieved from various data repositories. A server device receives, from a client device, a request to determine the veracity of a claim or a statement of truth. The server device is generally a trusted computing device, having privileged-access to a variety of data repositories that the client device may or may not access. The server device can select one or more data repositories based on the claim, obtain results data from the selected one or more data repositories, and evaluate each result to determine whether it corresponds to or contradicts the claim. A veracity score can be calculated for the claim or for a result that corresponds to or contradicts the claim. The server device can generate an attestation notification that includes the claim or the result for communication to the requesting client device. In this way, the client device can utilize the proof and attestation service, facilitated via the server device, to determine a claim's veracity or its calculated likelihood of being true.

System for providing proof and attestation services for claim verification

Embodiments of the present invention provide systems, methods, and computer storage media directed to reducing a size of a blockchain. In implementation, upon identifying an indication to reduce a size of a blockchain, a set of blocks to remove from the blockchain can be determined. The set of blocks can then be removed from the blockchain to reduce the size of the blockchain thereby reducing the amount of memory used by the blockchain.

Block quantity reduction in distributed ledgers

Smart contract platform for generating and customizing smart contracts

Methods and systems are provided for providing recommendations from a recommendation system for an analytics system. A recommendation system can be trained using user intent and context. Such user intent can be determined using a user history of interaction with an analytics system. The user history can either be that of the user accessing the recommendation system or an exemplary user history to broaden the recommendations made by the recommendation system. Such context can be determined using context features within the analytics system. The trained recommendation system generated using user intent and context can provide analytics recommendations based on a current context of a user that predict the intent of the user.

Context-aware recommendation system for analysts

Disclosed are various embodiments for automatically creating on a computer analytics tags for different object types of website objects in web pages with analytics tracking capability in a dynamic tag management system. In one implementation, user input is received identifying a website object for tagging in the web pages and keywords are identified based on the user input. Based on the keywords, multiple occurrences of the website object in the web are identified, wherein the multiple occurrences of the website object correspond to multiple object types. The computer automatically creates analytics tags for the website object corresponding to object types. Based on the website object, an expansion object is identified and the computer automatically creates an analytics tag for the expansion object.

Methods and systems for tag expansion by handling website object variations and automatic tag suggestions in dynamic tag management

The present disclosure is directed toward systems and method for generating geo-fences having boundaries around geographic regions of interest based on historical activity data of a user application on a plurality of client devices. For example, systems and methods described herein involve tracking activity data to identify instances of an application activity associated with an action to promote and identify locations where users more frequently perform the application activity. In addition, systems and methods described herein involve tracking activity data over time to determine geographic regions of interest at different time periods where users more frequently perform application activities. Further, systems and methods described herein involve generating geo-fences around one or more geographic regions of interest.

Generating data-driven geo-fences

Growing community of inventors

San Jose, CA, United States of America

Shriram Venkatesh Shet Revankar