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 4):
The computer system of  claim 1 , wherein the at least one computer processor is further configured to perform at least the following operations:\n updating, for each user, each respective user-specific, time-specific dynamic cluster mapping model based, at least in part, on at least one of: i) at least one biological feature of each respective user, ii) at least one social feature of each respective user, iii) at least one economic feature of each respective user, iv) at least one behavioral feature of each respective user, and v) any combination thereof.

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): 0.4024344682411033
- 35 USC 102 Novelty (BERT): 0.4874321357079528
- Combined Prediction Score: 0.4109342349877883
- Mean Citation Score: 148.445618
- Max Citation Score: 151.33942
- Similarity Product: 93.14590900224206

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