PATENT CLAIM ANALYSIS

Application Number: 15961710
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["386", "296000"]

Abstract:
Embodiments are directed towards analyzing content, such as Timed Text data that separately accompanies program content, to detect a future program. When a future program is detected in the content, a tag or other data structure is generated with identifying information for the future program. The tag is stored and later used to schedule a recording for the future program. An electronic program guide may be analyzed based on the identifying information in the tag to determine if the future program has been added to the electronic program guide.

Claim (Index 4):
The content receiver of  claim 1 , wherein detecting the future program from the analysis of the second content includes:\n determining that the identifying information in the second content is insufficient to identify the future program for recording; storing the identifying information for a predetermined timeframe; analyzing, within the predetermined timeframe, third content associated with a third channel to detect additional identifying information for the future program; and determining that a combination of the identifying information and the additional identifying information is sufficient to identify the future program for recording.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 91.0
- Lexical Diversity: 1.74545
- Patent Class: 386.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14956057', '14956054', '13732321', '10145461', '14493038']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6113928279048866
- 35 USC 102 Novelty (BERT): 0.507925559920138
- Combined Prediction Score: 0.6010461011064118
- Mean Citation Score: 193.856312
- Max Citation Score: 282.52475
- Similarity Product: 195.147875867784

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