PATENT CLAIM ANALYSIS

Application Number: 15949775
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["706", "012000"]

Abstract:
In some embodiments, the present invention provides for a computer system which includes a content database storing initial content data and a vocabulary data set; a processor configured to applying a machine learning model to transform the initial content data into a N-dimensional vector space; self-training the machine learning model based on the vocabulary data set; applying a clustering technique to the N-dimensional vector space to generate a cluster model of clusters, where each cluster includes a plurality of word representations; associating each cluster with a cluster identifier; obtaining subsequent content data; associating each data element of the subsequent content data with each cluster to generate a content data cluster mapping model; continuously tracking, for each user, each respective cluster identifier of each respective cluster associated with each action performed by each user with each data element to continuously self-adapt each user-specific, time-specific dynamic cluster mapping model.

Claim (Index 3):
The computer system of  claim 2 , wherein the first portion and the second portion are at a pre-determined ratio.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.31884
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15478363', '15924923', '10043714', '14180179', '11451217']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4012602477470148
- 35 USC 102 Novelty (BERT): 0.4920005305754211
- Combined Prediction Score: 0.4103342760298554
- Mean Citation Score: 148.445618
- Max Citation Score: 151.33942
- Similarity Product: 89.10956354707001

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

Dataset: test