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 6):
The computer-implemented method of  claim 3  further comprising:\n training, by the one or more computing systems, the model to classify the gameplay actions in the interactive game environment as being unauthorized if assisted by cheat software use and being otherwise authorized, including supplying the model with training data that includes a plurality of prior gameplay actions of users in the interactive game environment and that includes a determination of whether or not the prior gameplay actions of the users resulted in the access of the users to the interactive game environment being restricted, \n and wherein the determining that the observed gameplay actions of the user in the interactive game environment are unauthorized includes using the trained model to determine a likelihood that the observed gameplay actions of the user will result in the access being restricted of the user to the interactive game environment, and identifying the determined likelihood as exceeding a defined threshold for unauthorized gameplay actions.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 90.0
- Lexical Diversity: 1.75
- Patent Class: 463.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11101031', '14752467', '12343350', '15078567', '14336552']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3015339799370889
- 35 USC 102 Novelty (BERT): 0.4454708913407473
- Combined Prediction Score: 0.3159276710774548
- Mean Citation Score: 147.780648
- Max Citation Score: 164.4467
- Similarity Product: 131.4442101296365

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