PATENT CLAIM ANALYSIS

Application Number: 15924637
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-07
Patent Classification: ["725", "115000"]

Abstract:
The present disclosure provides a method and a server apparatus for delivering content based on content-aware using a neural network. A server apparatus for content delivery is provided, including a content clustering unit for clustering multiple contents provided from a content provider based on a similarity; a training unit for training a cluster-wise content reconstruction model by using contents contained in each cluster in accordance with a result of clustering performed by the content clustering unit; a storage unit for storing the multiple contents and the cluster-wise content reconstruction model; and a transmission unit for transmitting content requested by a user and a content reconstruction model corresponding to a cluster containing the content requested to a user terminal.

Claim (Index 4):
The server apparatus for content delivery of  claim 1 , wherein the training unit is configured to generate an alternative content by compressing the plurality of contents and train the content reconstruction model so as to provide an original content from the alternative content.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.13793
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13941083', '14578189', '15336871', '14975654', '14578050']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4946336811088484
- 35 USC 102 Novelty (BERT): 0.4919494774995555
- Combined Prediction Score: 0.4943652607479192
- Mean Citation Score: 174.98693400000005
- Max Citation Score: 181.30309
- Similarity Product: 114.14161527290642

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

Dataset: test