PATENT CLAIM ANALYSIS

Application Number: 15937425
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["345", "520000"]

Abstract:
Methods, apparatus, and machine-readable mediums are described for doing predictive content branch selection for rendering environments such as virtual reality systems. User data is aggregated from multiple users. Each user is classified based upon the user data. Personalization parameters are identified for each of the plurality of users. Content to be presented is determined and modified with a modification for a user based upon the personalization parameters for the user. The modified content is sent to the user.

Claim (Index 19):
At least one computer-readable medium, including instructions, which when executed by a machine, cause the machine to perform operations:\n receiving user data from a plurality of users, the user data comprising data from a plurality of devices; classifying each of the plurality of users based on the user data; identifying personalization parameters for each of the plurality of users; determining content to present; modifying the content with a first modification for a first user based upon the personalization parameters for the first user; modifying the content with a second, different, modification for a second user based upon the personalization parameters for the second user; sending the content with the first modification to the first user; and sending the content with the second modification to the second user.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 90.0
- Lexical Diversity: 1.62264
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15087926', '15461353', '15432275', '15448110', '14936520']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6091649246601951
- 35 USC 102 Novelty (BERT): 0.4817848229842629
- Combined Prediction Score: 0.5964269144926019
- Mean Citation Score: 130.600446
- Max Citation Score: 135.34547
- Similarity Product: 86.13409700772165

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

Dataset: test