PATENT CLAIM ANALYSIS

Application Number: 16233566
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["455", "414200"]

Abstract:
The present teaching relates to method, system, and medium for cross network communications. Information related to an application running on a user device is first received, which includes a state of the application and sensor data obtained with respect to a user interacting with the application on the user device. A request is sent to an application server for an instruction of a state transition of the application. A light weight model (LWM) for an object involved in the state transition is received and is personalized based on at least one of the sensor data and one or more preferences related to the user to generate a personalized model (PM) for the object, which is then sent to the user device.

Claim (Index 21):
Machine readable and non-transitory medium having information recorded thereon for cross network communications, wherein the information, when read by the machine, causes the machine to perform:\n receiving a first request from an application client for an instruction to make a state transition of an application running on a user device, wherein the request includes a state of the application, which is obtained based on an interaction of the user with the application on the user device; determining the state transition based on the state of the application; identifying an object related to the state transition; selecting a subset of parameters from a plurality of parameters, that are needed to render the object on the user device; determining a value for each of the subset of parameters; generating a light weight model (LWM) of the object based on the values of the subset of parameters; sending, as a response to the first request, the LWM of the object to the application client so that the LWM is to be personalized with respect to additional parameters by the application client based on information related to the user.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.07812
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13802432', '13830612', '13237770', '10717784', '15067046']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6926916461515983
- 35 USC 102 Novelty (BERT): 0.4611142283841948
- Combined Prediction Score: 0.6695339043748579
- Mean Citation Score: 135.681304
- Max Citation Score: 146.17615
- Similarity Product: 114.0640497413546

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