PATENT CLAIM ANALYSIS

Application Number: 15927979
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["709", "219000"]

Abstract:
Techniques are provided for controlling resource usage in a computing environment. In response to receiving a content request, a set of candidate content delivery campaigns is identified. For a first candidate content delivery campaign in the set, an anticipated resource usage of a resource that is associated with the first candidate content delivery campaign is determined. The anticipated resource usage is determined based on (1) a resource reduction per event of each event in a set of detected events of a content item of the first candidate content delivery campaign and (2) a decay factor. Based on the anticipated resource usage, it is determined whether the first candidate content delivery campaign is to be removed from the set.

Claim (Index 12):
A method comprising:\n in response to receiving a content request, identifying a set of candidate content delivery campaigns; for a first candidate content delivery campaign in the set of candidate content delivery campaigns, determining an anticipated resource usage of a resource that is associated with the first candidate content delivery campaign, wherein determining the anticipated resource usage is based on (1) a resource reduction per event of each event in a set of detected events of a content item of the first candidate content delivery campaign and (2) a decay factor; based on the anticipated resource usage, determining whether to remove the first candidate content delivery campaign from the set of candidate content delivery campaigns; wherein the method is performed by one or more computing devices.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.20339
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15224222', '15127566', '13242772', '15495690', '14214427']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2613750885760052
- 35 USC 102 Novelty (BERT): 0.4964686153916615
- Combined Prediction Score: 0.2848844412575708
- Mean Citation Score: 169.75372
- Max Citation Score: 196.00418
- Similarity Product: 119.52633604933978

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