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 30):
A method for controlling an air conditioner of a network system including the air conditioner and a user terminal, the method comprising:\n receiving, by the user terminal, a user input signal depending on a user input selecting an artificial intelligence operation UI; transmitting, by the user terminal, an artificial intelligence operation request signal corresponding to the artificial intelligence operation UI to the air conditioner; transmitting, by the air conditioner, a current temperature of the air conditioner to an external device in response to the artificial intelligence operation request signal being received; receiving, by the air conditioner, a recommended temperature, which is a result obtained by applying the current temperature to a learning model, from the external device depending on a transmission of the current temperature; and setting, by the air conditioner, the received recommended temperature in the air conditioner, wherein the learning model is a learning model learned using a plurality of set temperatures previously set in the air conditioner and a plurality of current temperatures.

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): 0.3542432892317915
- 35 USC 102 Novelty (BERT): 0.4861736958391389
- Combined Prediction Score: 0.3674363298925262
- Mean Citation Score: 167.46480200000005
- Max Citation Score: 182.14
- Similarity Product: 122.89013337016104

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