PATENT CLAIM ANALYSIS

Application Number: 16446259
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["707", "723000"]

Abstract:
A method includes retrieving, by executing a scored content generator, a web content collection. The web content collection includes first metadata associated with the web content collection as a whole, content items, and second metadata associated with the content items. The second metadata also includes metrics characterizing (i) the content items and (ii) at least a portion of the web content collection. Executing a scored content generator, and based on the metrics, a content item performance score is calculated for each of the retrieved content items. Each content item performance score characterizes a level of user interaction with the content items. Data encapsulating the content item performance scores is provided to a first computing system.

Claim (Index 7):
The method in accordance with  claim 6 , wherein the at least one parameter comprises a value representing at least one or more of a \u201clike,\u201d \u201cdislike,\u201d \u201ctweet,\u201d \u201cretweet,\u201d \u201cfavorite,\u201d \u201c+1,\u201d \u201cview,\u201d \u201cunique view,\u201d \u201cfan,\u201d \u201cfollow,\u201d \u201cviral posting,\u201d \u201cpaid posting,\u201d \u201cstoryteller posting,\u201d \u201cclick,\u201d \u201chide,\u201d \u201ccomment,\u201d or \u201cshare\u201d determined from the second data.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 100.0
- Lexical Diversity: 2.22034
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14736196', '13276271', '11837070', '13926984', '13618647']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2201182853057597
- 35 USC 102 Novelty (BERT): 0.5320307851132141
- Combined Prediction Score: 0.2513095352865052
- Mean Citation Score: 221.619664
- Max Citation Score: 372.4165
- Similarity Product: 231.4253840186

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