PATENT CLAIM ANALYSIS

Application Number: 16015800
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["725", "019000"]

Abstract:
Disclosed herein are methods and systems to help disambiguate channel identification in a scenario where fingerprint data of media content being rendered by a media presentation device matches multiple reference fingerprints corresponding respectively with multiple different channels. Upon detecting such a multi-match, a server or other entity will perform disambiguation based at least in part on a comparison of time of broadcast of the media content being rendered by the media presentation device with time of broadcast of the media content represented by the reference fingerprints. The server or other entity will thereby determine the channel on which the media content being rendered by the media presentation device is arriving, so as to facilitate taking channel-specific action.

Claim (Index 9):
The non-transitory computer readable medium of  claim 5 , wherein each of the matching reference fingerprints has a corresponding time of broadcast, and wherein using the determined time of broadcast of the media content being rendered by the media presentation device as a basis to determine which one of the matching reference fingerprints corresponds with the channel on which the media presentation device is receiving the media content comprises:\n comparing the determined time of broadcast of the media content being rendered by the media presentation device with each matching reference fingerprint's corresponding time of broadcast, and determining based on the comparing that the time of broadcast of the media content being rendered by the media presentation device does not match another one of the matching reference fingerprints.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.76812
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15343895', '15443580', '15842206', '16015783', '16015811']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5767574985076377
- 35 USC 102 Novelty (BERT): 0.5454415832834927
- Combined Prediction Score: 0.5736259069852232
- Mean Citation Score: 313.598686
- Max Citation Score: 331.28195
- Similarity Product: 251.93449742174744

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