PATENT CLAIM ANALYSIS

Application Number: 16248187
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["706", "011000"]

Abstract:
A method of selecting and presenting content on a first system based on user preferences learned on a second system is provided. The method includes receiving a user's input for identifying items of the second content system and, in response thereto, presenting a subset of items of the second content system and receiving the user's selection actions thereof. The method includes analyzing the selected items to learn the user's content preferences for the content of the second content system and determining a relationship between the content of the first and second content systems to determine preferences relevant to items of the first content system. The method includes, in response subsequent user input for items of the first content system, selecting and ordering a collection of items of the first content system based on the user's learned content preferences determined to be relevant to the items of the first content system.

Claim (Index 22):
The networked learning system of  claim 21 , wherein:\n the nature of the interaction corresponds to a purchasing activity of the user; and the one or more details associated with the interaction correspond to one or more items that were purchased by the user.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 99.0
- Lexical Diversity: 3.17647
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16248308', '11682588', '12882451', '13021086', '13788265']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5612853184467531
- 35 USC 102 Novelty (BERT): 0.5462810410898439
- Combined Prediction Score: 0.5597848907110623
- Mean Citation Score: 400.96008
- Max Citation Score: 429.63956
- Similarity Product: 306.8253297443867

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

Dataset: test