PATENT CLAIM ANALYSIS

Application Number: 15984180
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["711", "133000"]

Abstract:
Provided are a computer program product, system, and method for using a machine learning module to select one of multiple cache eviction algorithms to use to evict a track from the cache. A first cache eviction algorithm determines tracks to evict from the cache. A second cache eviction algorithm determines tracks to evict from the cache, wherein the first and second cache eviction algorithms use different eviction schemes. At least one machine learning module is executed to produce output indicating one of the first cache eviction algorithm and the second cache eviction algorithm to use to select a track to evict from the cache. A track is evicted that is selected by one of the first and second cache eviction algorithms indicated in the output from the at least one machine learning module.

Claim (Index 25):
The method of  claim 24 , wherein the executing the at least one machine learning module comprises:\n executing a first machine learning module that receives as input the first evict track and cache statistics and outputs a first confidence level indicating a likelihood that the first cache eviction algorithm optimizes a read hit rate to the cache; executing a second machine learning module that receives as input the second evict track and cache statistics and outputs a second confidence level indicating a likelihood that the second cache eviction algorithm optimize the read hit rate to the cache; evicting the first evict track from the cache in response to the first confidence level exceeding the second confidence level; and evicting the second evict track from the cache in response to the second confidence level exceeding the first confidence level.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 93.0
- Lexical Diversity: 2.71154
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12109258', '12027983', '11538091', '15212920', '15972797']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5685465694087286
- 35 USC 102 Novelty (BERT): 0.510542595713708
- Combined Prediction Score: 0.5627461720392265
- Mean Citation Score: 258.525696
- Max Citation Score: 293.58743
- Similarity Product: 212.5603199575013

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

Dataset: test