PATENT CLAIM ANALYSIS

Application Number: 15971188
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["709", "206000"]

Abstract:
In a data-handling machine system which has data originating and replicating units (e.g., smartphones) configured to allow users to create or replicate and transmit voluminous amounts of data (e.g., emails) on a recipients-targeting basis to large numbers of recipients, a communications constraining mechanism is provided which intercepts emails (or other forms of recipients-targeting communications), classifies the communications, categorizes the targeted recipients and then based on the classifications and categorizations, generates recommendations on whether to block or let through as is the intercepted communications to their intended recipients.

Claim (Index 32):
An automated machine system having one or more processors and configured to automatically carry out a method comprised of:\n determining an identification of a first individual; obtaining detailed data about behaviors and about non-behavioral categorizations of the identified first individual and/or about behaviors of automated devices or automated services that routinely service the identified first individual; storing the obtained detailed data about the first individual and/or about the devices/services that routinely service the first individual in a database in association with the determined identification of the first individual; automatically repeatedly comparing the stored detailed data for the first individual with corresponding and already obtained and stored detailed data for other individuals so as to thereby automatically determine if at least some of the detailed data for the first individual forms a distinguishing cluster in a respective parameter space with corresponding and already stored detailed data for at least some of the other individuals, the distinguishing cluster having a commonalty of attributes for its members but being distinguishable from corresponding attributes of data for nonmembers populating the respective parameter space; in response to determining presence of the distinguishing cluster, categorizing the distinguishing cluster and recording in the database an association between the first individual and the categorized cluster; receiving from a requesting device, the identification of the first individual and a request for information about the first individual; in response to the received request, automatically determining if the request for information can be satisfied with an anonymizing reference to the categorized cluster, where the anonymizing reference is one that cannot by itself be used to readily identify the first individual or to determine the stored detailed data for the first individual; and in response to determining that the request for information can be satisfied with the anonymizing reference, automatically transmitting the anonymizing reference to the requesting device so as to thereby satisfactorily reply to the request but not reveal the stored detailed data for the first individual and to thereby preserve privacy of the first individual with respect to the stored detailed data for the first individual.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.6129
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14665422', '15911564', '14719121', '14176075', '15072174']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2065352175491312
- 35 USC 102 Novelty (BERT): 0.5251646504852048
- Combined Prediction Score: 0.2383981608427386
- Mean Citation Score: 179.501256
- Max Citation Score: 324.06613
- Similarity Product: 219.8248030687845

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test