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 23):
The method as claimed in  claim 22 , further comprising:\n acquiring external environment information of the air conditioner, wherein the acquiring the recommended temperature to be set in the air conditioner comprises inputting the current temperature and the external environment information to the learned learning model to acquire the recommended temperature to be set in the air conditioner.

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): 0.3540313626138022
- 35 USC 102 Novelty (BERT): 0.487071515349878
- Combined Prediction Score: 0.3673353778874098
- Mean Citation Score: 167.46480200000005
- Max Citation Score: 182.14
- Similarity Product: 121.78023033857345

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