Loading patent…
AssigneeCross Commerce Media, Inc.
InventorsRussell W. Martin, Jr., Stephen Messer, Heidi Messer, Paolo Cappellari, Paul Ashaolu, Antonio Maccioni
Estimating the term…
A novel approach to facilitating access to valuable actionable content from a multi-tenant database involves system generated ranking of connection content with associated data retrieval methods and systems, utilizing “connector” scores to rank responsive content. The system “learns” how to optimize retrieving and ranking high value actionable content with experience; and applies optimized scoring parameters to enhance future operations. The computer platform is greatly improved by delivering actionable content that is immediately translated into critical operations and tasks recommended by the system to support transactions for the User.
A method for quantifying relative strength of one or more connections to a business opportunity, the method comprising:
A method for quantifying relative strength of one or more connections to a business opportunity, the method comprising:
A method for quantifying relative strength of one or more connections to a business opportunity, the method comprising:
Dependencies are inferred from the claim text.
Drawings are temporarily unavailable. Open the PDF at USPTO
From the US filing history. Foreign family members aren’t listed.
Administration; Management: resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation…
With adaptation to user needs: using ranking
Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries: approximate or statistical queries
Office automation; Time management: computer-aided management of electronic mailing [e-mailing]
About 13 years 10 months of term left · ends 16 Aug 2040 (estimated)
This disclosure incorporates by reference: (i) pending U.S. patent application Ser. No. 15/605,734 titled: Advanced Database Systems and Methods filed May 25, 2017; and (ii) U.S. Pat. No. 9,607,056 titled: Systems and Methods For Providing a Multi-Tenant Knowledge Network, filed on Nov. 10, 2015; as if each was restated in full.
The disclosure is directed to system designs and computer operations that facilitate access to and enhance specialized information parsed from digitally stored large data sets. More particularly, the disclosed technology herein is directed to novel computer and communication systems and methods for improved processing, managing and enhancing of complex data extracted to create refined actionable content for facilitating select communications in support of commercial operations and transactions.
A growing interest in managing large data sets has triggered the development and commercial release of multiple computer networks for connecting entities and individuals for purposes of enhancing communications, operations and transactions. To illustrate, Linkedin.com has grown in popularity as a social network for businesspersons, students and professionals. Underlying this network is an enormous database full of detailed information regarding members—both individuals and entities. The data includes connections between individuals and entities as well as personal and professional connections. These relationships in the aggregate reflect the level of association between two or more entities. For any given inquiry or task, a very small amount of meaningful connection data may exist—data otherwise hidden from useful application for users by being buried in the extensive database and thus rendering it nearly impossible to access.
FIG. 1 is a block diagram of an example computer platform forming the hardware environment supporting the disclosed technology.
FIG. 2 is an example user interface for requesting a ranked/scored collection of responsive connections.
FIG. 3 is an example logic flow depicting the application workflow for implementing connection processes and scoring operations, according to embodiments of the disclosed technology.
Briefly in overview, aspects of the disclosed technology constitute an integral component of a data management platform for assisting in transactions. In the sales management context for B2B business, the disclosed technology supports facilitated sales functions by providing a data rich time management platform that provides individual sales representatives insights into closing transactions. Aspects of the disclosed technology can create these insights by deep data processing with machine learning to identify patterns associated with enhanced opportunities. The system operation is enhanced by identifying actionable content from the database store of user relationships. A scoring algorithm ranks high opportunity connections based on select inputs.
Turning now to FIG. 1, an example hardware/software platform structure 100 for implementing aspects of the disclosed technology is depicted. As shown, the hardware/platform can employ a distributed processing client/server network with appropriate programming. These different parts are deployed on dislocated hardware devices (aka machines).
Each of these parts can be optimized for any particular implementation. As will be appreciated, this opens to the possibility of installing and using the disclosed technology with limited resources, though a minimum set of hardware requirements are typically required. A typical hardware ecosystem to support the application is composed of the following three hardware subsystems.