PATENT CLAIM ANALYSIS

Application Number: 15991549
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["715", "753000"]

Abstract:
Scheduling events with multiple invitees includes: identifying a plurality of invitees for an event in a calendar system having at least one processor; searching an availability associated with each of the invitees to determine a number of periods of availability in the calendar system, at least some of the invitees being available during each period of availability; creating a separate instance of the event in the calendar system for each identified period of availability; and for each invitee available during at least one of the periods of availability, assigning the invitee to one said instance of the event for which that invitee is available with the calendar system.

Claim (Index 14):
A method of scheduling events with multiple invitees, said method comprising:\n identifying a plurality of invitees for an event in a calendar system comprising at least one processor; determining in the calendar system whether an available meeting period exists during which each of the invitees is available; in response to determining that no single available meeting period exists during which each of the invitees is available, scheduling a plurality of instances of the same event to occur at different times in the calendar system; and for each invitee, assigning the invitee to one said instance of the event for which that invitee is available, such that a different group of invitees is assigned to each of the multiple instances of the event based on availability of individual invitees.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 93.0
- Lexical Diversity: 2.3
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14664117', '13114584', '11831732', '12126882', '09100133']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3697328748377433
- 35 USC 102 Novelty (BERT): 0.5892494387099191
- Combined Prediction Score: 0.3916845312249609
- Mean Citation Score: 365.056404
- Max Citation Score: 502.90427
- Similarity Product: 460.56151661796446

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

Dataset: test