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 18):
The method of  claim 16 , wherein:\n for a first event in the set of detected events of the first candidate content delivery campaigns content delivery campaign, the resource reduction of the first event is based on a first probability of impression; for a second event in the set of detected events, the resource reduction of the second event is based on a second probability of impression that is different than the first probability of impression.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.20339
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15224222', '15127566', '13242772', '15495690', '14214427']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2867769287395049
- 35 USC 102 Novelty (BERT): 0.4899996539786514
- Combined Prediction Score: 0.3070992012634195
- Mean Citation Score: 169.75372
- Max Citation Score: 196.00418
- Similarity Product: 132.1017051313567

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