PATENT CLAIM ANALYSIS

Application Number: 15943623
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["707", "693000"]

Abstract:
Data may be efficiently analyzed and compressed as part of a data compression service. A data compression request may be received from a client indicating data to be compressed. An analysis of the data or metadata associated with the data may be performed. In at least some embodiments, this analysis may be a rules-based analysis. Some embodiments may employ one or more machine learning techniques to historical compression data to update the rules-based analysis. One or more compression techniques may be selected out of a plurality of compression techniques to be applied to the data. Data compression candidates may then be generated according to the selected compression techniques. In some embodiments, a compression service restriction may be enforced. One of the data compression candidates may be selected and sent in a response.

Claim (Index 35):
The method of  claim 33 , wherein trying the one or more compression techniques to compress the data at the network-based data compression service until the compressed version of the data generated from one of the compression techniques meets or exceeds compression criteria for the data further comprises trying the one or more compression techniques to compress the data at the network-based data compression service additionally until the compressed version of the data generated from one of the compression techniques is within a restriction for the network-based compression service.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 91.0
- Lexical Diversity: 2.34426
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13900350', '15199627', '13747169', '15385772', '13953432']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2177298140352044
- 35 USC 102 Novelty (BERT): 0.4924119342072863
- Combined Prediction Score: 0.2451980260524126
- Mean Citation Score: 170.14400600000005
- Max Citation Score: 220.49149
- Similarity Product: 154.1638197793734

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