PATENT CLAIM ANALYSIS

Application Number: 15996647
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["715", "202000"]

Abstract:
Described herein is a system and method for co-locating disparate media types into a virtual reality experience. Input is received from a user including temporal information, geographical information, and/or entity information for building the virtual reality experience. Media items are identified in accordance with the received user input, at least some of the media items being of disparate media types. In some embodiments, the media items are identified using a cloud-based operating system component that stores information regarding utilization of device(s) by the user. The virtual reality experience is built by selecting at least some of the identified media items to be included in the virtual reality experience and organizing the selected media items. In some embodiments, the media items to be included are selected using a selection model trained using a machine learning algorithm. The virtual reality experience is provided in accordance with the arranged, selected media items.

Claim (Index 9):
The system of  claim 1 , wherein the plurality of media items is identified using a cloud-based operating system component that stores information regarding utilization of one or more devices by the user.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 94.0
- Lexical Diversity: 2.22973
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15610607', '15610593', '15816014', '12199393', '15141760']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2904244832968105
- 35 USC 102 Novelty (BERT): 0.4873708953690668
- Combined Prediction Score: 0.3101191245040361
- Mean Citation Score: 157.183138
- Max Citation Score: 167.73795
- Similarity Product: 111.87978222173452

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