METHODS, SYSTEMS, ARTICLES OF MANUFACTURE AND APPARATUS TO DETERMINE PRODUCT SIMILARITY SCORES
Methods, systems, articles of manufacture and apparatus to determine product similarity scores are disclosed. An example apparatus includes calculation set generating circuitry to identify a set of candidate comparison items based on primary characteristics corresponding to the a focus item, and generate a calculation set of items from the set of candidate comparison items based on secondary characteristics corresponding to market performance, and weight calculating circuitry to calculate primary characteristic scores corresponding to the focus item, the primary characteristic scores based on a uniqueness between the primary characteristics corresponding to the focus item and primary characteristics corresponding to the calculation set of items.
1 . An apparatus to identify item similarity metrics, comprising:
calculation set generating circuitry to:
identify a set of candidate comparison items based on primary characteristics corresponding to a focus item; and
generate a calculation set of items from the set of candidate comparison items based on secondary characteristics corresponding to market performance; and
weight calculating circuitry to calculate primary characteristic scores corresponding to the focus item, the primary characteristic scores based on a uniqueness between the primary characteristics corresponding to the focus item and primary characteristics corresponding to the calculation set of items.
2 . The apparatus as defined in claim 1 , wherein the weight calculating circuitry is to calculate the primary characteristic scores based on a ratio of (a) total items within the calculation set of items and (b) a number of items that share one of the primary characteristics corresponding to the focus item.
3 . The apparatus as defined in claim 2 , wherein the weight calculating circuitry is to calculate a log of the ratio to calculate the primary characteristic scores.
4 . The apparatus as defined in claim 1 , wherein the primary characteristics corresponding to the focus item include at least one of a flavor, a size, a claim, or a pack size.
5 . The apparatus as defined in claim 1 , wherein the secondary characteristics include at least one of sales volume, sales volume per unit of time, or all commodities volume (ACV) metrics.
6 . The apparatus as defined in claim 1 , further including data set generating circuitry to identify the focus item from a list of ranked focus items to be evaluated.
7 . The apparatus as defined in claim 1 , further including similarity calculating circuitry to generate a list of most similar market available items based on the primary characteristic scores.
8 . A non-transitory computer readable medium comprising instructions that, when executed, cause processor circuitry to at least:
identify a set of candidate comparison items based on primary characteristics corresponding to a focus item;
generate a calculation set of items from the set of candidate comparison items based on secondary characteristics corresponding to market performance; and
calculate primary characteristic scores corresponding to the focus item, the primary characteristic scores based on a uniqueness between the primary characteristics corresponding to the focus item and primary characteristics corresponding to the calculation set of items.
9 . The non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the processor circuitry to calculate the primary characteristic scores based on a ratio of (a) total items within the calculation set of items and (b) a number of items that share one of the primary characteristics corresponding to the focus item.
10 . The non-transitory computer readable medium as defined in claim 9 , wherein the instructions, when executed, cause the processor circuitry to calculate a log of the ratio to calculate the primary characteristic scores.
11 . The non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the processor circuitry to identify primary characteristics as at least one of a flavor, a size, a claim, or a pack size.
12 . The non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the processor circuitry to identify the secondary characteristics as at least one of sales volume, sales volume per unit of time, or all commodities volume (ACV) metrics.
13 . The non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the processor circuitry to identify the focus item from a list of ranked focus items to be evaluated.
14 . The non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the processor circuitry to generate a list of most similar market available items based on the primary characteristic scores.
15 . An apparatus for identifying item similarity metrics comprising:
means for generating a calculation set to:
identify a set of candidate comparison items based on primary characteristics corresponding to a focus item; and
generate a calculation set of items from the set of candidate comparison items based on secondary characteristics corresponding to market performance; and
means for calculating weights to calculate primary characteristic scores corresponding to the focus item, the primary characteristic scores based on a uniqueness between the primary characteristics corresponding to the focus item and primary characteristics corresponding to the calculation set of items.
16 . The apparatus as defined in claim 15 , wherein the means for calculating weights is to calculate the primary characteristic scores based on a ratio of (a) total items within the calculation set of items and (b) a number of items that share one of the primary characteristics corresponding to the focus item.
17 . The apparatus as defined in claim 16 , wherein the means for calculating weights is to calculate a log of the ratio to calculate the primary characteristic scores.
18 . The apparatus as defined in claim 15 , wherein the primary characteristics corresponding to the focus item include at least one of a flavor, a size, a claim, or a pack size.
19 . The apparatus as defined in claim 15 , wherein the secondary characteristics include at least one of sales volume, sales volume per unit of time, or all commodities volume (ACV) metrics.
20 . The apparatus as defined in claim 15 , further including means for generating a data set to identify the focus item from a list of ranked focus items to be evaluated.