PATENT CLAIM ANALYSIS

Application Number: 16370832
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-10
Patent Classification: ["705", "007190"]

Abstract:
This disclosure describes, according to some implementations, a method for scoring electronic meeting requests for attendee redundancy. In an example method, the method includes retrieving, using one or more processors, user IDs of meeting attendees; retrieving, using the one or more processors, one or more characteristics associated with the user IDs; retrieving, using the one or more processors, a rule having one or more parameters for scoring meeting composition; comparing, using the one or more processors, the one or more characteristics associated with the user IDs based on the one or more parameters of the rule; and generating, using the one or more processors, a meeting score based on the comparison. From the foregoing, it will be appreciated that specific embodiments of the invention have been described herein for purposes of illustration, but that various modifications may be made without deviating from the scope of the invention. Accordingly, the invention is not limited except as by the appended claims.

Claim (Index 6):
The one or more instances of non-transitory computer-readable media of  claim 4 , the method further comprising causing to be displayed in the visual user interface a prompt to remove the distinguished person from the plurality of people.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 99.0
- Lexical Diversity: 2.23171
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15136779', '11168577', '10423465', '13155250', '11866578']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1357520802207098
- 35 USC 102 Novelty (BERT): 0.5181864814123279
- Combined Prediction Score: 0.1739955203398716
- Mean Citation Score: 175.263722
- Max Citation Score: 265.05072
- Similarity Product: 126.04921332893372

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

Dataset: test