PATENT CLAIM ANALYSIS

Application Number: 15968489
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-08
Patent Classification: ["705", "007320"]

Abstract:
A method that targets survey respondents more effectively for increased business profits uses answers provided by respondents to find a best match with particular surveys held in an inventory of surveys posted by researchers. Control of the respondent is maintained through to the completion of the surveys that are determined to be the best targets, and only then is an entire set of completed responses returned in a burst to the corresponding researcher. The result is an effective 100% incidence rate every time, near zero sample waste, and highly accurate and specific data is on-hand that is related to the costs and delays in fulfilling survey quotas.

Claim (Index 5):
The method of  claim 1 , further comprising:\n rendering with a Survey Rendering Framework each survey question for display or output by a variety of user devices; sensing which of the variety of user devices is then an active user device in use by the particular respondent to be interviewed in a targeted survey; switching amongst the user devices of the particular respondent by sending a corresponding rendering of a survey question for display or output by a then active user device; and accepting answers to the survey question, entered from the then active user device, into the answer inventory; wherein, the survey rendering framework includes machine instructions for displaying each type of question in the universal survey format for each type of user device, and wherein the same survey can be presented on any user device, and the respondent can seamlessly switch amongst user devices even in the middle of a survey interview.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.48052
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15653111', '09695955', '09781523', '10980487', '10279159']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1338861704755049
- 35 USC 102 Novelty (BERT): 0.5195605173882626
- Combined Prediction Score: 0.1724536051667807
- Mean Citation Score: 304.409348
- Max Citation Score: 338.7994
- Similarity Product: 251.29023900761604

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