PATENT CLAIM ANALYSIS

Application Number: 15933829
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["725", "014000"]

Abstract:
Systems and methods are described herein increasing a likelihood above a target threshold of a user watching a target media asset. The method includes selecting a target media asset, identifying a media attribute present in the target media asset that does not match a user profile, computing a percentage of the media attribute present in the target media asset relative to other media attributes present in the target media asset, searching for a first media asset that comprises a first amount of the media attribute less than the percentage by a first threshold. Upon determining that the user consumes the first media asset, repeating the process with a second media asset that comprises a second amount of the media attribute greater than the first threshold and less than the percentage by a second threshold. After the user consumes the second media asset, recommending the target media asset to the user.

Claim (Index 2):
A method for increasing a likelihood above a target threshold of a user watching a target media asset, the method comprising:\n selecting a target media asset to recommend to a user; determining a likelihood of the user watching the target media asset; determining a set of media attributes present in the target media asset; identifying a media attribute from the set of media attributes present in the target media asset that does not match a user profile; determining a first length of the target media asset; determining a second length of a portion of the target media asset in which the media attribute is present; computing a ratio of the first length to the second length to determine a percentage of the media attribute present in the target media asset; determining a first set of media assets with a likelihood of the user watching each media asset in the first set of media assets that is above a target threshold; analyzing each media asset within the first set of media assets to determine, for each media asset within the first set of media assets, a first respective ratio of a length of the media asset in which the media attribute is present to a total length of the media asset; computing, for each media asset within the first set of media assets, a first intermediate percentage of the media attribute present in the media asset based on the first respective ratio determined for the media asset; comparing the computed first intermediate percentages of each media asset of the first set of media assets to determine a first media asset with a maximum first intermediate percentage of the media attribute less than the percentage by a first threshold; generating for display a first recommendation of the first media asset; and in response to determining that the user has consumed the first media asset: increasing the likelihood of the user watching the target media asset to an intermediate value greater than the determined likelihood and less than the target likelihood; determining a second set of media assets related to the first media asset; analyzing each media asset within the second set of media assets to determine, for each media asset within the second set of media assets, a second respective ratio of a length of the media asset in which the media attribute is present to a total length of the media asset; computing, for each media asset within the second set of media assets, a second intermediate percentage of the media attribute present in the media asset based on the second respective ratio determined for the media asset, wherein the second intermediate percentage is greater than the maximum first intermediate percentage; comparing the computed second intermediate percentages of each media asset within the second set of media assets to determine a second media asset with a maximum second intermediate percentage; generating for display a second recommendation of the second media asset; and in response to determining that the user consumes the second media asset:\n increasing the likelihood of the user watching the target media asset to a value greater than the target likelihood; and \n in response to the increased likelihood, recommending the target media asset to the user.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.78947
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14625423', '15842564', '15842532', '15654421', '15494822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4355121917903014
- 35 USC 102 Novelty (BERT): 0.5165389426159219
- Combined Prediction Score: 0.4436148668728634
- Mean Citation Score: 282.952898
- Max Citation Score: 298.93848
- Similarity Product: 225.6588878351784

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

Dataset: test