PATENT CLAIM ANALYSIS

Application Number: 16379401
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["707", "737000"]

Abstract:
The present invention extends to methods, systems, and computer program products for detecting events from features derived from multiple signals. In one aspect, an event detection infrastructure determines that characteristics of multiple signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring.

Claim (Index 11):
A system comprising:\n a processor; system memory coupled to the processor and storing instructions configured to cause the processor to:\n receive a first normalized signal including a first location dimension and a first context dimension, the first context dimension including a first single source probability representing at least a first approximate probability of a real-world event of a specified event type; \n derive first one or more features from the first normalized signal including from the first single source probability; \n determine that the first one or more features, including the first single source probability, provide insufficient evidence to be identified as the real-world event of the specified event type; \n receive a second normalized signal including a second location dimension and a second context dimension, the second context dimension including a second single source probability representing at least a second approximate probability of the real-world event of the specified event type; \n aggregate the first single source probability and the second single source probability into a multisource probability; and \n detect the real-world event from evidence provided by the multisource probability, including the multisource probability exceeding a threshold probability associated with the event type.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 100.0
- Lexical Diversity: 2.01667
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16203792', '16038537', '16121917', '16238782', '16280391']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2292777527127361
- 35 USC 102 Novelty (BERT): 0.5558997080316228
- Combined Prediction Score: 0.2619399482446248
- Mean Citation Score: 302.96573
- Max Citation Score: 458.74673
- Similarity Product: 351.5640159832585

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

Dataset: test