PATENT CLAIM ANALYSIS

Application Number: 16424179
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["705", "014460"]

Abstract:
A computer-implemented method for determining a micro-moment value that indicates an optimal time for a customer to receive a targeted advertisement. The method includes receiving, via a network, customer data associated with behavior of a plurality of customers. The method includes determining, via one or more processors, a micro-moment value predicting an optimal time and network location to engage a customer based on the customer data.

Claim (Index 9):
A system for determining a micro-moment value comprising:\n at least one processor, and at least one memory storing computer executable instructions that, when executed by the at least one processor, cause the system at least to perform the steps of: receiving a plurality of signals from a plurality of online actions, the plurality of signals corresponding to an online profile for a consumer (p), and each of the plurality of signals including one or more of a past duration, a past network location, a past time period, and a past action type; determining a predicted micro-moment value based on the plurality of signals, the micro-moment value predicting one or more of a future duration, a future network location, and a future time period for a further online action for the consumer, the micro-moment value consisting of: MMV 1 = \u2211 c = 1 p \ue89e \u2211 e = 1 y \ue89e ( RCV Y i , t ) * ( \u03a0 \ue89e \ue89e radians channel ) wherein: \u2211 c = 1 p includes a conversion index (c) for the plurality of signals that include a conversion (c=1) across the plurality of online profiles (p), and consists of: \u2211 Conversion \ue89e \ue89e Index \ue89e \ue89e ( c ) = 1 Total \ue89e \ue89e Number \ue89e \ue89e of \ue89e \ue89e Profiles \ue89e \ue89e ( p ) wherein: \u2211 e = 1 y \ue89e ( RCV Y i , t ) includes a click rate through domains click rate through domains consists of: \u2211 Customer \ue89e \ue89e Experience \ue89e \ue89e Value \ue89e \ue89e ( e ) = 1 \ue89e \ue89e or \ue89e \ue89e 0 Click \ue89e \ue89e Index \ue89e \ue89e ( y ) \ue89e Real \ue89e - \ue89e time \ue89e \ue89e Customer \ue89e \ue89e Journey \ue89e \ue89e Value \ue89e \ue89e ( RCV ) Contextual \ue89e \ue89e Signals \ue89e \ue89e Value \ue89e \ue89e ( Y ) wherein the click index (y) includes a primary key for each of the plurality of signals, the customer experience value includes a value of 1 for each of the plurality of signals that includes the conversion or a value of 0 for each of the plurality of signals that does not include the conversion, the RCV includes an index value for each of the plurality of signals, and Y includes a value based on the past action type; wherein: ( \u03a0 \ue89e \ue89e radians channel ) includes a click rate per channel and the click rate per channel consists of: ( \u03a0 \ue89e \ue89e radians \ue89e \ue89e value channel ) the radian value consists of a value based on a total number for the plurality of signals and the channel equals a value corresponding to a type of device accessing the domain; and engaging the customer when the micro-moment value reaches a duration and a time period corresponding to a predicted key moment in a plot of the predicted micro-moment values, wherein the micro moment value indicates an optimal time and network location to engage the customer.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 100.0
- Lexical Diversity: 1.69767
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13691564', '16395130', '13705056', '10947384', '12700696']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0870599934720159
- 35 USC 102 Novelty (BERT): 0.4728194214930455
- Combined Prediction Score: 0.1256359362741189
- Mean Citation Score: 113.9141912
- Max Citation Score: 125.8227
- Similarity Product: 89.81326485187411

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

Dataset: test