PATENT CLAIM ANALYSIS

Application Number: 15880118
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["725", "019000"]

Abstract:
Television is the largest advertising category in the United States with over 65 billion spent by advertisers per year. A variety of different targeting algorithms are compared, ranging from the traditional age-gender targeting methods employed based on Nielsen ratings, to new approaches that attempt to target high probability buyers using Set Top Box data. The performance of these different algorithms on a real television campaign is shown, and the advantages and limitations of each method are discussed. In contrast to other theoretical work, all methods presented herein are compatible with targeting the existing 115 million Television households in the United States and are implementable on current television delivery systems.

Claim (Index 21):
A computer-implemented method comprising:\n defining, by a server, for one or more advertisement effectiveness measures for one or more possible media placements among a plurality of possible media placements, a default value and a minimum participation threshold, adjusting, by a model to predict advertisement effectiveness for a pairing of an advertisement and a media placement among the plurality of possible media placements, a value of a first advertisement effectiveness measure for the pairing to a default value of the first advertisement effectiveness measure if a number of impressions for the pairing is below a minimum participation threshold for the first advertisement effectiveness measure, wherein a model to predict advertisement effectiveness for a pairing of an advertisement and a media instance among a plurality of pairings of an advertisement and a media instance adjusts a value of a first advertisement effectiveness measure for the pairing to a default value of the first advertisement effectiveness measure if a number of impressions for the pairing is below a minimum participation threshold for the first advertisement effectiveness measure, and wherein the model includes one or more model parameters that are automatically generated by minimizing an error in predicting historical advertisement effectiveness measures.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.40964
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15467411', '14586746', '14720225', '14336384', '14844267']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5136414402104368
- 35 USC 102 Novelty (BERT): 0.6261415540967991
- Combined Prediction Score: 0.524891451599073
- Mean Citation Score: 404.269754
- Max Citation Score: 606.7962
- Similarity Product: 532.044369913745

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

Dataset: test