PATENT CLAIM ANALYSIS

Application Number: 16274975
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["725", "019000"]

Abstract:
Disclosed are methods and systems involving location-based disambiguation of media channel identification, in a scenario where a fingerprint of media content being rendered by a media presentation device matches multiple reference fingerprints corresponding respectively with multiple different media channels. Upon detecting such a multi-match situation, a server or other entity will use a location of the media presentation device as a basis to disambiguate between the matching reference fingerprints and thus to determine the channel on which the media content being rendered by the media presentation device is arriving.

Claim (Index 1):
A method comprising:\n detecting by a computing system that digital fingerprint data representing media content being rendered by a media presentation device matches multiple instances of reference fingerprint data each corresponding with a different respective channel; responsive to the detecting, performing by the computing system disambiguation based at least in part on a location of the media presentation device, to determine which channel the media presentation device is receiving the media content on, wherein performing the disambiguation comprises, based at least in part on a match between the location of the media presentation device and a location associated with a particular one of the multiple instances of reference fingerprint data, determining that the respective channel with which the particular instance of reference fingerprint data corresponds is the channel that the media presentation device is receiving media content on; and taking action based on the determined channel.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.57627
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16017218', '15842206', '16274966', '15982437', '15222405']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5808323843357014
- 35 USC 102 Novelty (BERT): 0.5327610627395075
- Combined Prediction Score: 0.576025252176082
- Mean Citation Score: 330.436018
- Max Citation Score: 344.06616
- Similarity Product: 325.7725226941252

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