PATENT CLAIM ANALYSIS

Application Number: 15894809
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["705", "325000"]

Abstract:
Data processing computer systems, in various embodiments, are adapted for: (1) presenting a threshold privacy assessment that includes a first set of privacy-related questions for a privacy campaign; (2) receiving respective answers to the first set of questions; (3) using this initial set of answers to calculate an initial privacy risk score for the privacy campaign; (4) determining whether the privacy risk score exceeds the threshold privacy risk value; (5) in response to the privacy risk score exceeding the threshold privacy risk value, providing one or more supplemental questions to the user to facilitate the completion of a full privacy impact assessment. In some embodiments, in response to determining that the privacy risk score does not exceed the threshold privacy risk value, the systems and methods provide an indication that the particular privacy campaign is a relatively low privacy campaign.

Claim (Index 1):
A computer-implemented data processing method for efficiently conducting privacy risk assessments for a plurality of privacy campaigns, the method comprising, for each of the plurality of privacy campaigns:\n presenting, by one or more processors, a threshold privacy assessment to a user that includes a first set of one or more questions for a first plurality of question/answer pairings that identify one or more privacy characteristics of a particular privacy campaign; receiving, by one or more processors, respective answers for the first plurality of question/answer pairings regarding the one or more privacy characteristics of the particular privacy campaign; determining, by one or more processors, a threshold privacy risk score for the particular privacy campaign that identifies a level of risk for one or more of the privacy characteristics indicated in the question/answer pairings, wherein determining the threshold privacy risk score for the particular privacy campaign comprises determining a risk level based at least in part on the one or more privacy characteristics; comparing, by one or more processors, the threshold privacy risk score to a threshold privacy risk value, the threshold privacy risk value indicating a pre-determined level of risk regarding the one or more privacy characteristics of the particular privacy campaign; determining, by one or more processors, whether the threshold privacy risk score exceeds the threshold privacy risk value; in response to determining that the threshold privacy risk score exceeds the threshold privacy risk value: providing, by one or more processors, a privacy impact assessment to the user that includes a second set of questions for a second plurality of question/answer pairings that identify one or more privacy characteristics of the particular privacy campaign, the second set of one or more questions including one or more questions that are different from questions within the first set of one or more questions; and determining, by one or more processors, a second risk score based at least in part on the second plurality of question/answer pairings by: determining a weighting factor for each of the second plurality of question/answer pairings, the second plurality of question/answer pairings including: a nature of personal data collected as part of the particular privacy campaign; electronically determining a relative risk rating for each of the second plurality of question/answer pairings; electronically calculating the second risk score based upon, for each of the second plurality of question/answer pairings, the relative risk rating and the weighting factor; and electronically associating the second risk score with the particular privacy campaign; and in response to determining that the threshold privacy risk score does not exceed the threshold privacy risk value, storing, by one or more processors, an indication that the particular privacy campaign is a low privacy risk campaign.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.16
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15619459', '15619212', '15894819', '15619455', '15853674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1425683601632493
- 35 USC 102 Novelty (BERT): 0.5965439281632323
- Combined Prediction Score: 0.1879659169632476
- Mean Citation Score: 418.781592
- Max Citation Score: 504.98175
- Similarity Product: 492.7203056368679

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

Dataset: test