PATENT CLAIM ANALYSIS

Application Number: 16384906
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-09
Patent Classification: ["705", "007370"]

Abstract:
The disclosure is directed to a system, method, and computer program for predicting the value of an idea based on crowd input. Users are prompted to vote as to whether variables for an idea (e.g., cost, time to implement, revenue/cost-savings) are greater than or less than proposed values. The proposed values are derived from probability distributions for the variables. Each time a vote is received for a variable, a new probability distribution for the variable is created, wherein parameters of the distribution (e.g., mean, shape parameter) are based on the vote data. The polling continues for each of the variables until a poll termination event occurs. The mean of the final probability distribution for each variable represents the system's estimate (or prediction) of the crowd's consensus value for the variable. Ideas are ranked based on the final consensus value estimates for the ideas.

Claim (Index 1):
A method, performed by a computer system, for predicting the value of an idea entered into an idea-management platform, the method comprising:\n (a) creating a probability distribution for values for each of: (i) a cost to implement an idea, (ii) a time to implement the idea, and (iii) a revenue/savings associated with the idea, wherein each probability distribution initially has a mean value and shape parameter that are predetermined; (b) polling a plurality of users as to cost, time, and revenue/saving values for the idea, wherein polling a user comprises displaying a proposed value for a cost, time, or revenue/savings variable for the idea and enabling the user to vote whether the user's estimate for the variable is greater than or less than the proposed value, and wherein the proposed values for the variables displayed to users are derived from the respective probability distributions for the variables; (c) in response to receiving a vote for a value of one of the variables, creating a new probability distribution for the variable, including calculating a new mean and a new shape parameter for the probability distribution based on votes received for the variable, wherein calculating a new mean comprises calculating a consensus value for the variable that reflects vote(s) received for the variable and using the consensus value as the new mean and displaying a revised proposed value based on the new probability distribution; (d) repeating steps (b) and (c) for each of the variables until a polling-termination event occurs, wherein, in repeating step (b) for a variable, the value displayed for the variable is derived from the new probability distribution created in the previous step (c) for the variable; and (e) in response to the occurrence of a polling-termination event occurring, calculating a ranking for the idea based on the last-calculated consensus values for the cost, time, and revenue/saving variables; and (f) displaying a ranked list of ideas in a user interface based on calculated rankings for the ideas, including displaying the last-calculated consensus values for the cost, time, and revenue/saving variables for each of the ideas.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.14103
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12473598', '11716365', '11483149', '14014229', '11801572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0930966002232776
- 35 USC 102 Novelty (BERT): 0.4907206145511912
- Combined Prediction Score: 0.132859001656069
- Mean Citation Score: 179.655656
- Max Citation Score: 193.35303
- Similarity Product: 133.27535099867106

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