PATENT CLAIM ANALYSIS

Application Number: 15941687
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["700", "276000"]

Abstract:
An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

Claim (Index 14):
A network system, comprising:\n an air conditioner; and a learning model server configured to provide a recommended temperature using a recognition data acquired from the air conditioner, wherein the air conditioner comprises:\n a blowing fan configured to discharge cooling air to an outside, \n a temperature sensor configured to sense a current temperature of the air conditioner, \n an air conditioner communicator configured to communicate with an external device, and \n at least one air conditioner processor configured to control the air conditioner communicator to transmit the current temperature sensed by the temperature sensor to the external device, and \n wherein the learning model server comprises:\n a storage configured to store a learned learning model to provide a recommended temperature of the air conditioner, \n at least one server processor configured to:\n acquire the current temperature, and \n input the current temperature to the learned learning model to acquire the recommended temperature of the air conditioner, and \n \n a server communicator configured to transmit the recommended temperature to the external device.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 90.0
- Lexical Diversity: 2.33333
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12315276', '12069579', '15848473', '15803051', '14326663']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.355030002669599
- 35 USC 102 Novelty (BERT): 0.482844912667271
- Combined Prediction Score: 0.3678114936693662
- Mean Citation Score: 167.46480200000005
- Max Citation Score: 182.14
- Similarity Product: 127.00649648427964

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

Dataset: test