PATENT CLAIM ANALYSIS

Application Number: 15937916
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["725", "086000"]

Abstract:
Systems and methods for making video content recommendations. Metadata relating to at least one content item consumed by the user is received. The video data is stored as at least one video data file for each of the content items and frame change times are extracted for each of the content items from corresponding of the at least one video data file. Frame image files are created for each of the content items based on corresponding sets of the frame times and entity data is extracted from the frame files. Audio data of each of the content items is converted to text data and the entity data and the text data are merged for each content item to create a list of tokens corresponding to each content item. A document vector is determined for each content item based on the list of tokens corresponding to that content item and the similarity of each item of content to each item in a different set of content items is determined based on the vectors. Recommendations of content are presented to a user based on the scores.

Claim (Index 13):
The method of  claim 10 , wherein the step of calculating a document vector for each content item based on the list of tokens corresponding to that content item comprises applying a conceptnet 5 numberbatch algorithm.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 90.0
- Lexical Diversity: 2.89394
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11465967', '13458897', '14688691', '13831202', '14885924']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4500203878549867
- 35 USC 102 Novelty (BERT): 0.505696855406687
- Combined Prediction Score: 0.4555880346101567
- Mean Citation Score: 166.265226
- Max Citation Score: 179.76697
- Similarity Product: 100.01011654275295

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