PATENT CLAIM ANALYSIS

Application Number: 16102248
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["705", "014360"]

Abstract:
The preference-based data collection and discounting system and methods herein collect consumer product preferences and track the buying habits of a consumer and reward consumers through discounts. The buying habits may be interrogated by a database of one or more algorithms, which will result in a collated database about consumer buying habits. This metadata may be used by vendors to make marketing assumptions that will influence a consumer's future purchase decisions. Consumers directly input and update their preferences as well.

Claim (Index 4):
The method of  claim 1 , wherein, a logistic regression is applied to the list of products to determine the discount multiplier.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.40984
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11695330', '11011720', '14017114', '12344954', '12695833']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0954782157941868
- 35 USC 102 Novelty (BERT): 0.5052390267474216
- Combined Prediction Score: 0.1364542968895103
- Mean Citation Score: 189.609864
- Max Citation Score: 195.93448
- Similarity Product: 119.92863495878694

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

Dataset: test