PATENT CLAIM ANALYSIS

Application Number: 15936494
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["719", "320000"]

Abstract:
A method comprising operating a computerized chatbot to: calculate first and second scores representing a relevance of input received from a user to functionalities provided by respective first and second modules, respectively, of the chatbot; associate the first and second modules with respective first and second names; introducing the modules to the user using their associated names; selecting a module to interact with the user based on at least one of: a name mentioned by the user and a score and switching between the first and second modules based on the names.

Claim (Index 12):
A computerized chatbot implemented on a non-transient computer-readable storage medium that comprises instructions to:\n calculate first and second scores representing a relevance of input received from a user to functionalities provided by respective first and second modules associated with the chatbot, wherein the first and second modules are software applications each providing a different service to the user; associate the first and second modules with respective first and second names; introduce the modules to the user using their associated names; select the first module to interact with the user when the first score is higher than the second score, and select the second module to interact with the user when the second score is higher than the first score; and enable the user to interact with the first and second modules by mentioning their respective names.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.96078
- Patent Class: 719.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15494385', '15277954', '15873911', '11613040', '11613176']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.509908874213171
- 35 USC 102 Novelty (BERT): 0.4736047509000201
- Combined Prediction Score: 0.5062784618818559
- Mean Citation Score: 147.595842
- Max Citation Score: 159.1867
- Similarity Product: 118.95974159312844

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