PATENT CLAIM ANALYSIS

Application Number: 15896608
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["463", "023000"]

Abstract:
Embodiments of systems presented herein may perform automatic granular difficulty adjustment. In some embodiments, the difficulty adjustment is undetectable by a user. Further, embodiments of systems disclosed herein can review historical user activity data with respect to one or more video games to generate a game retention prediction model that predicts an indication of an expected duration of game play. The game retention prediction model may be applied to a user's activity data to determine an indication of the user's expected duration of game play. Based on the determined expected duration of game play, the difficulty level of the video game may be automatically adjusted.

Claim (Index 17):
A non-transitory computer-readable storage medium storing computer executable instructions that, when executed by one or more computing devices, configure the one or more computing devices to perform operations comprising:\n accessing a set of user interaction data of a user, the set of user interaction data corresponding to a user's interaction with a video game; selecting a parameter function from a plurality of parameter functions based at least in part on a penalty value associated with at least some of the parameter functions from the plurality of parameter functions, the penalty value derived for the parameter function based at least in part on characteristics of the parameter function; based at least in part on the set of user interaction data, determining a predicted churn rate for the user by applying the set of user interaction data to the selected parameter function, the predicted churn rate corresponding to a probability that the user ceases playing the video game; and modifying execution of the video game based at least in part on the predicted churn rate for the user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.91667
- Patent Class: 463.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15416961', '15445784', '15064115', '15639973', '14848095']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2882734011415516
- 35 USC 102 Novelty (BERT): 0.4858037848887867
- Combined Prediction Score: 0.3080264395162751
- Mean Citation Score: 223.004262
- Max Citation Score: 258.5695
- Similarity Product: 201.3658843274713

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

Dataset: test