PATENT CLAIM ANALYSIS

Application Number: 15879356
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-11
Patent Classification: ["705", "007310"]

Abstract:
Systems and methods for predicting user lifetime value in accordance with embodiments of the invention are disclosed. In one embodiment, a lifetime value prediction server system includes a processor, and a memory configured to store a lifetime value prediction application, wherein the lifetime value prediction application directs the processor to obtain a set of user interaction data, group the set of user interaction data into cohorts, where the user interaction data within a cohort occurs on a particular day, calculate a set of known spending values based on the cohorts, determine a set of predicted spending values based on the set of known spending values, determine a set of predicted spending confidence values based on the set of known spending values, and calculate a set of predicted lifetime value data based on the set of predicted spending values and the set of predicted spending confidence values.

Claim (Index 20):
A method for predicting user lifetime value data, comprising:\n obtaining a set of user interaction data using a lifetime value prediction server system, the user interaction data comprising:\n interaction data describing interactions with a target application; \n timestamp data describing when the interactions occurred; and \n value data associated with a user interaction with the target application for users having the same installation date and a measure of the number of days since the installation of the target application; \n grouping the set of user interaction data into cohorts using the lifetime value prediction server system, where the user interaction data within a cohort occurs on a particular day; calculating a set of known spending values based on the cohorts using the lifetime value prediction server system, where the set of known spending values includes a total spending value for the cohort for the usage data for each day having aggregated user interaction data within the cohort; determining a set of predicted spending values based on the set of known spending values using the lifetime value prediction server system, where the size of the set of predicted spending values is based on a desired number of days since the installation of the target application; determining a set of predicted spending confidence values for each predicted spending value in the set of predicted spending values based on the set of known spending values using the lifetime value prediction server system; and calculating a set of predicted lifetime value data based on the set of predicted spending values and the set of predicted spending confidence values using the lifetime value prediction server system.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.75439
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12049725', '12335731', '14591403', '15073330', '12336471']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1053299160808781
- 35 USC 102 Novelty (BERT): 0.4884753021887247
- Combined Prediction Score: 0.1436444546916627
- Mean Citation Score: 173.492452
- Max Citation Score: 179.22229
- Similarity Product: 114.4235571087074

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

Dataset: test