PATENT CLAIM ANALYSIS

Application Number: 16403863
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-11
Patent Classification: ["715", "719000"]

Abstract:
The present disclosure provides systems and methods that provide a lean-back, interactive experience that enables a user to browse and understand content items (e.g., news articles or reactions) that provide different perspectives around a topic (e.g., a news story). In particular, the systems and methods can provide context around a topic by assembling a wide-range of interesting content around a topic and seamlessly allowing users to scan through articles by surfacing unique information contained in them. The systems and methods of the present disclosure can read, understand, and organizes thousands of documents around a topic, hence allowing easy consumption of news.

Claim (Index 19):
A computing system configured to:\n identify, from multiple distinct sources of content items, a plurality of content items that relate to a topic; generate a plurality of cards respectively for the plurality of content items; generate one or more content descriptors for each of the plurality of content items; provide for display a user interface that cycles through the plurality of cards respectively associated with the plurality of content items, wherein, for each of the plurality of cards, the user interface presents at least one of the one or more content descriptors generated for the content item that corresponds to such card; and utilize a machine learning resource to:\n evaluate one or more user interactions with said user interface provided for display; and \n determine at least one adjustment to said user interface based on said user interactions with said user interface.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 100.0
- Lexical Diversity: 1.85484
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13830703', '14244825', '14103292', '15359994', '14146986']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2933149713601225
- 35 USC 102 Novelty (BERT): 0.4896124444861677
- Combined Prediction Score: 0.312944718672727
- Mean Citation Score: 161.255294
- Max Citation Score: 170.1114
- Similarity Product: 111.42694692889452

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

Dataset: test