PATENT CLAIM ANALYSIS

Application Number: 16235007
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["382", "103000"]

Abstract:
Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.

Claim (Index 13):
The computing device as described in  claim 10 , wherein the assigning includes generating at least one model using machine learning based on the recognized objects.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.89062
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15859056', '16141700', '15782457', '15619205', '14827836']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3415972369237304
- 35 USC 102 Novelty (BERT): 0.5185113219683539
- Combined Prediction Score: 0.3592886454281928
- Mean Citation Score: 197.488156
- Max Citation Score: 224.73692000000003
- Similarity Product: 150.74288341552258

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

Dataset: test