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 5):
The method as described in  claim 1 , wherein the monitoring includes identifying a first said digital image included in digital content that is subject to the user interaction and a second said digital image that is not, and wherein the assigning is based on the identifying.

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): 0.3430865669370862
- 35 USC 102 Novelty (BERT): 0.5115871928180615
- Combined Prediction Score: 0.3599366295251837
- Mean Citation Score: 197.488156
- Max Citation Score: 224.73692000000003
- Similarity Product: 164.3648704730034

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