PATENT CLAIM ANALYSIS

Application Number: 15869688
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["725", "019000"]

Abstract:
Methods and systems for identifying content to be outputted during an output of a video are described. A processor may identify a section in a video image of the video. The processor may assign a classification type to the section. The processor may output the video including the set of video images. The processor may detect an interaction with the section during the output of the video. The processor may identify, in response to detecting the interaction, content associated with the classification type assigned to the section in the video image. The processor may output the identified content during the output of the video.

Claim (Index 14):
The system of  claim 13 , wherein the classification endpoint data is first classification endpoint data, the content is a first content, the cost per impression is a first cost per impression, the cost threshold is a first cost threshold, and the set of classification types is a first set of classification types, and the matching device is further configured to:\n receive second classification endpoint data that includes second content, a second cost per impression, a second cost threshold, and a second set of classification types associated with the second content; compare the first classification endpoint data with the second classification endpoint data, wherein identifying the content is further based on a result of the comparison of the first classification endpoint data with the second classification endpoint data.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 86.0
- Lexical Diversity: 2.69048
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13846645', '15832881', '12982601', '14106279', '16087129']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4136534270321121
- 35 USC 102 Novelty (BERT): 0.4752794287122552
- Combined Prediction Score: 0.4198160272001264
- Mean Citation Score: 120.8351292
- Max Citation Score: 124.30131000000002
- Similarity Product: 83.62853645422697

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

Dataset: test