PATENT CLAIM ANALYSIS

Application Number: 15910434
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
Patent Classification: ["379", "202010"]

Abstract:
Embodiments herein provide a method for providing an Artificial Intelligence (AI)-assisted conference system. The method includes establishing an AI-assisted conference session with a plurality of calling applications associated with different domains. Further, the method includes determining an inactivity period in the AI-assisted conference session and recommend a topic content to the plurality of calling applications. Further, the method includes detecting a conflict between the plurality of participants associated with the plurality of calling applications and resolve the conflict using a conflict resolution. Furthermore, the method includes generating a visual artefact based on audio contents and textual contents provided by the plurality of participants during an interaction in the AI-assisted conference session.

Claim (Index 54):
The AI-assisted conference system of  claim 53 , wherein the conflict detection parameter comprises at least one a level of divergence in inputs provided by the participants who speaks in the AI-assisted conference session, a number of opinions placed for a common topic by the participants who speaks in the AI-assisted conference session, and a number of times a participant speaks with other participant in the AI-assisted conference session.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 1.96774
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15546109', '13760668', '15530169', '15546576', '10238401']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5557129287713655
- 35 USC 102 Novelty (BERT): 0.4928057930539943
- Combined Prediction Score: 0.5494222151996283
- Mean Citation Score: 210.64906800000003
- Max Citation Score: 222.21913
- Similarity Product: 143.71197782179476

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

Dataset: test