PATENT CLAIM ANALYSIS

Application Number: 15927989
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["463", "029000"]

Abstract:
Techniques are described for automatically reducing cheating in an interactive execution environment, such as to perform automated operations to detect and stop use of cheat software in an online game environment, and to restrict subsequent access to the online game environment for users who are identified as using cheat software. The techniques may include using deep learning techniques to train one or more models to classify particular types of gameplay actions as being unauthorized if cheat software use is detected, including to determine a likelihood of whether a separate cheat detection decision system would decide that particular gameplay actions are authorized or not authorized if the additional cheat detection decision system assesses those gameplay actions, and then using the trained model(s) and in some cases the additional cheat detection decision system for the cheat software detection and prevention.

Claim (Index 17):
The non-transitory computer-readable medium of  claim 7  wherein the determining includes, before the interacting with the one or more other unauthorized software detection systems, using the trained model to determine a likelihood that the one or more other unauthorized software detection systems will decide that the observed actions of the user are assisted by the use of the unauthorized software, and identifying the determined likelihood as exceeding a defined threshold for unauthorized user actions.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 90.0
- Lexical Diversity: 1.75
- Patent Class: 463.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11101031', '14752467', '12343350', '15078567', '14336552']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3206898883896637
- 35 USC 102 Novelty (BERT): 0.4755327845669372
- Combined Prediction Score: 0.3361741780073911
- Mean Citation Score: 147.780648
- Max Citation Score: 164.4467
- Similarity Product: 102.91523630547525

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

Dataset: test