PATENT CLAIM ANALYSIS

Application Number: 16399768
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-11
Patent Classification: ["705", "007190"]

Abstract:
The present disclosure relates to systems and methods for confirming a scheduled event based on one or more electronic activities. The method includes identifying an electronic activity corresponding to a scheduled event. The method includes accessing, for a participant, electronic activities corresponding to the participant. The method includes extracting, for each of the electronic activities, a feature set based on participants included in the electronic activity or content included in a body of the electronic activity. The method includes determining, for each electronic activity, a relevancy score based on the extracted feature set. The method includes identifying a subset of electronic activities of the plurality of electronic activities. The method includes determining a probability score indicating a likelihood that the participant attended the scheduled event. The method includes generating an attendance tag indicating that the participant attended the scheduled event.

Claim (Index 9):
The method of  claim 1 , further comprising:\n parsing, by the one or more processors, the subset of electronic activities to identify one of an electronic access values associated with the scheduled event or a physical address associated with the scheduled event; and determining, by the one or more processors, an event type of the scheduled event based on identifying the electronic access value or the physical address associated with the scheduled event.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 100.0
- Lexical Diversity: 2.8
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16371039', '16398153', '16398260', '16371037', '16371042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1066029723257002
- 35 USC 102 Novelty (BERT): 0.5261514722223765
- Combined Prediction Score: 0.1485578223153679
- Mean Citation Score: 318.832514
- Max Citation Score: 342.62424
- Similarity Product: 278.81301743007657

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