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 24):
The system of  claim 20  wherein the model is further trained to classify the user gameplay actions in the interactive game environment as being assisted by use of one of a plurality of types of cheat software, and wherein the determining that the observed gameplay actions of the user in the interactive game environment are unauthorized includes identifying one of the plurality of types of cheat software used to assist the observed gameplay actions of the user.

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): 0.3237478033373441
- 35 USC 102 Novelty (BERT): 0.4623049922185999
- Combined Prediction Score: 0.3376035222254697
- Mean Citation Score: 147.780648
- Max Citation Score: 164.4467
- Similarity Product: 116.46427607167362

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