An AI-enabled data foundation and personalized access layer for search across multi-format, multi-protocol data silos

U.S. Patent Number: 10,394,966
Patent Title: Systems and methods for multi-protocol, multi-format universal searching
Issue Date: August 27, 2019
Inventors: Ghafourifar, et al.
Assignee: Entefy Inc.

Patent Abstract

This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol personalized searching in a manner that is most beneficial for the individual user. Personalized searching can be achieved by obtaining a plurality of data objects for a first user. The data objects can exist in a wide variety of formats and can be received via a number of protocols. One or more message objects can be created for each of the data objects, according to a standardized format and stored. The universal message objects can be indexed in a manner that is personal to the user, and in accordance with one or more parameters that can be updated on an ongoing or periodic basis, in accordance with the actions of the user, or any combination thereof.

USPTO Technical Field

This disclosure relates generally to systems, methods, and computer readable media for enhanced document and/or message searching across multiple communications formats and protocols.

Background

The proliferation of personal computing devices in recent years, especially mobile personal computing devices, combined with a growth in the number of widely-used communications formats (e.g., text, voice, video, image) and protocols (e.g., SMTP, IMAP/POP, SMS/MMS, MPP, etc.) has led to a communications experience that many users find fragmented and difficult to search for relevant information in. Users desire a system that will provide searching across different data object types, across multiple formats and protocols, with ease and accuracy.

With current communications and searching technologies, different types of messages and other different types of data objects tend to be “siloed” within particular formats or protocols, causing users to be unable to search uniformly across multiple communications and other data objects in multiple formats or protocols, across multiple applications and across multiple other computing devices from their computing devices to find relevant search results. This can be time consuming, inefficient and frustrating. For example, a user may have to search for emails in an email system, and search for a video file in a different location. Moreover, due to the passage of time, the user may be unaware that a topic searched with regard to one data object type (e.g., emails) might have yielded relevant results if a different type (e.g., image files) had been searched.

Furthermore, with searching technologies, searching methods tend to be uniform—“one size fits all”—regardless of the preferences and individual characteristics of the person who is doing the searching.

The subject matter of the present disclosure is directed to overcoming, or at least reducing the effects of, one or more of the problems set forth above. To address these and other issues, techniques that enable seamless, multi-format, multi-protocol storage, searching and retrieval are described herein.

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Entefy is an enterprise AI software company. Entefy’s patented, multisensory AI technology delivers on the promise of the intelligent enterprise, at unprecedented speed and scale.

Entefy products and services help organizations transform their legacy systems and business processes—everything from knowledge management to workflows, supply chain logistics, cybersecurity, data privacy, customer engagement, quality assurance, forecasting, and more. Entefy’s customers vary in size from SMEs to large global public companies across multiple industries including financial services, healthcare, retail, and manufacturing.

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