PATENT CLAIM ANALYSIS

Application Number: 16119819
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["705", "014680"]

Abstract:
One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.

Claim (Index 6):
The method of  claim 5 :\n wherein accessing outcomes of consumption of the set of instances of the digital advertisement across the first population of users comprises accessing instances of conversion across the first population of users responsive to consumption of the digital advertisement; and wherein defining the threshold cumulative pixel exposure comprises defining the threshold cumulative pixel exposure correlated with a threshold probability of conversion responsive to viewing the digital advertisement based on the correlation.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 96.0
- Lexical Diversity: 3.04
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15806735', '15217879', '15667507', '12361415', '15872688']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1084602889064342
- 35 USC 102 Novelty (BERT): 0.4745177383790603
- Combined Prediction Score: 0.1450660338536969
- Mean Citation Score: 117.559863
- Max Citation Score: 121.31176
- Similarity Product: 80.08327041362763

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