PATENT CLAIM ANALYSIS

Application Number: 16174132
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["379", "266070"]

Abstract:
This disclosure sets forth systems and techniques that automatically allocate and throttle back resource capacity to multiple campaign events, in real-time, based on campaign event priorities and a supply and demand of available resource capacity. For example, a campaign management system may re-allocate unused resource capacity to a particular campaign event based on the particular campaign event's real-time demand for additional resource capacity. Unused resource capacity may originate from a common pool of resource capacity, or from other campaign events that have an over-allocation of resource capacity that is being underutilized. Further, the techniques described herein also describe throttling back resource capacity of a particular campaign event in response to determining that an existing pool of available resource capacity is unable to serve the particular campaign event's requirements.

Claim (Index 6):
The method of  claim 1 , wherein the resource capacity pool includes a general pool of resource capacity and a reserve pool of resource capacity, and wherein the adjusting comprises reallocating computing resources from the reserve pool to the resource capacity.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.04412
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15629624', '14985088', '13476895', '11413535', '12283163']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5049147063776702
- 35 USC 102 Novelty (BERT): 0.5194744328687838
- Combined Prediction Score: 0.5063706790267816
- Mean Citation Score: 218.699048
- Max Citation Score: 321.7536
- Similarity Product: 236.2547754684448

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

Dataset: test