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 10):
The method of  claim 6 , determining the conflict resolution to resolve the conflict based on the plurality of conflict resolution parameters comprising:\n computing a qualification level for each participant of the at least one or two participants based on the plurality of conflict resolution parameters; comparing the qualification level of each participant of the at least one or two participants among each other; and determining the conflict resolution by selecting an audio content of a participant from the at least two participants having a highest qualification level.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 1.96774
- Patent Class: 379.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15546109', '13760668', '15530169', '15546576', '10238401']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.526855183068176
- 35 USC 102 Novelty (BERT): 0.487775084285403
- Combined Prediction Score: 0.5229471731898987
- Mean Citation Score: 210.64906800000003
- Max Citation Score: 222.21913
- Similarity Product: 148.9375635235059

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

Dataset: test