PATENT CLAIM ANALYSIS

Application Number: 16105717
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["707", "780000"]

Abstract:
Generating a playlist may include designating a seed track in an audio library; identifying audio tracks in the audio library having constructs that are within a range of a corresponding construct of the seed track, where the constructs for the audio tracks are derived from frequency representations of the audio tracks, and the corresponding construct for the seed track is derived from a frequency representation of the seed track; and generating the playlist using at least some of the audio tracks that were identified.

Claim (Index 35):
The system of  claim 34 , wherein the hardware processor is further configured to:\n determine distances between the construct for the first media content item and the constructs for the identified media content items that are within the given range; assign weights to artist scores and candidate track scores of the identified media content items based on the determined distances to generate weighted artist scores and weighted candidate track scores; and output an indication that the first media content item and the subset of media content items are similar based on the weighted artist scores and the weighted candidate track scores.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 96.0
- Lexical Diversity: 2.06977
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13103445', '13313259', '14467975', '11255365', '10158674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2435989819969322
- 35 USC 102 Novelty (BERT): 0.5524327320406586
- Combined Prediction Score: 0.2744823570013048
- Mean Citation Score: 288.623388
- Max Citation Score: 435.7732
- Similarity Product: 345.69016647315016

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