PATENT CLAIM ANALYSIS

Application Number: 15865716
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["725", "032000"]

Abstract:
A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Claim (Index 19):
The method according to  claim 13 , wherein\n the set of constraints comprises at least one of a count of first non-programming media items of the plurality of non-programming media items to be inserted for a defined time duration of the programming media content, a minimum or maximum count of second non-programming media items of the plurality of non-programming media items, a media content identifier to differentiate between similar product items corresponding to different brands, break duration limits, or a time separation, and the second non-programming media items correspond to a media content source.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 2.26761
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15396453', '15396462', '15396608', '15362606', '14795863']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4528763842844807
- 35 USC 102 Novelty (BERT): 0.4764699362288463
- Combined Prediction Score: 0.4552357394789172
- Mean Citation Score: 182.015194
- Max Citation Score: 203.59302
- Similarity Product: 169.1621544463849

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test