PATENT CLAIM ANALYSIS

Application Number: 16015783
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
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 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 on a determination that a segment of the fingerprint data matches a reference fingerprint corresponding with just a single channel, such as a reference fingerprint representing commercial or news programming content specific to just the single channel. 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 17):
The system of  claim 15 , wherein the operations further include detecting and flagging a multi-match group comprising the multiple reference fingerprints,\n wherein determining that the first digital fingerprint data matches multiple reference fingerprints each corresponding with a different respective channel comprises determining that the first digital fingerprint data matches the reference fingerprints of the flagged multi-match group.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.63889
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15222405', '15253354', '15842189', '15442114', '15343895']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4715982867155642
- 35 USC 102 Novelty (BERT): 0.5412537322628307
- Combined Prediction Score: 0.4785638312702909
- Mean Citation Score: 357.223744
- Max Citation Score: 380.737
- Similarity Product: 307.1623431990743

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