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 5):
The computer-implemented method of  claim 3  wherein the model is a deep neural network, and wherein the method further comprises training, by the one or more computing systems and before the determining, the deep neural network for use in future classifying of gameplay actions in the interactive game environment as being assisted by cheat software use or not being assisted by cheat software use, including obtaining and using training data about a plurality of decisions each specifying whether indicated user gameplay actions in the interactive game environment result in access being restricted to the interactive game environment due to use of cheat software to assist the user gameplay 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): 0.3271869688808352
- 35 USC 102 Novelty (BERT): 0.4475689211599807
- Combined Prediction Score: 0.3392251641087498
- Mean Citation Score: 147.780648
- Max Citation Score: 164.4467
- Similarity Product: 131.62335739315748

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