SYSTEMS AND METHODS FOR GENERATING VALUE-BASED INFORMATION
Methods for generating value-based information are presented. Methods for displaying product information are also presented. In one approach, a feature to price distribution is approximated for each of a plurality of features of a plurality of products. Additionally, a product feature score is computed for each of at least a subset of the products. Furthermore, data corresponding to a visual representation of the at least a subset of the products in relation to each other is output based on the product feature scores and prices of each of the at least a subset of the products. In another approach, a value is assigned to each of a plurality of features of a plurality of products. Additionally, a product feature score is computed for each of at least a subset of the products. Furthermore, data corresponding to a visual representation of the at least a subset of the products in relation to each other is output based on the product feature scores and prices of each of the at least a subset of the products.
1 . A method for generating value-based information, comprising:
under control of a computer:
generating statistical data for particular features of a plurality of products based on prices of the products;
generating a base score for each of the features based on the statistical data;
for each of at least some of the products, computing a product feature score for the product based on the base scores of the features that the product has; and
outputting, for the at least some of the products, a representation of a value of each of the at least some of the products in relation to each other, the representation of the value being based on the product feature score and the price for each of the products.
2 . A method as recited in claim 1 , wherein the representations of the values of each of the at least some of the products in relation to each other are plotted on a chart of price vs. features.
3 . A method as recited in claim 1 , wherein generating the statistical data includes, for a particular product feature, associating each of the products with at least one of a plurality of price bins based on an actual price of the product; and, for each price bin, determining a number of products having the particular product feature.
4 . A method as recited in claim 1 , wherein generating the statistical data includes, for a particular product feature, selecting a plurality of price bins; and, for each price bin, determining a number of products in each price bin having the particular product feature.
5 . A method as recited in claim 4 , wherein computing the product feature score for a particular one of the products includes summing the base scores of the features that the particular product has.
6 . A method as recited in claim 5 , wherein each of the base scores is given a weighting prior to the summing.
7 . A method as recited in claim 6 , wherein the weighting is based on at least one of a standard deviation of a feature to price distribution for each of the features of the products, a manually-defined value, and a statistically computed value based at least in part on prices of the products.
8 . A method for displaying product information, comprising:
approximating a feature to price distribution for each of a plurality of features of a plurality of products;
computing a product feature score for each of at least a subset of the products; and
outputting data corresponding to a visual representation of the at least a subset of the products in relation to each other based on the product feature scores and prices of each of the at least a subset of the products.
9 . A method as recited in claim 8 , wherein the approximating the feature to price distribution includes, for a particular product feature, associating each of the products with at least one of a plurality of price bins based on an actual price of the product; and, for each price bin, determining a number of products having the particular product feature.
10 . A method as recited in claim 8 , wherein the approximating the feature to price distribution includes, for a particular product feature, selecting a plurality of price bins; and, for each price bin, determining a number of products in each price bin having the particular product feature.
11 . A method as recited in claim 10 , wherein computing the product feature score for a particular one of the products includes summing statistical derivatives of the feature to price distributions of the features of the particular product.
12 . A method as recited in claim 11 , wherein each of the statistical derivatives is given a weighting.
13 . A method as recited in claim 12 , wherein the weighting is based on at least one of a standard deviation of the feature to price distribution, a manually-defined value, and a statistically computed value.
14 . A method for displaying product information, comprising:
assigning a value to each of a plurality of features of a plurality of products;
computing a product feature score for each of at least a subset of the products; and
outputting data corresponding to a visual representation of the at least a subset of the products in relation to each other based on the product feature scores and prices of each of the at least a subset of the products.
15 . A method for displaying product information, comprising:
determining a value of each of a plurality of products relative to the other products, the values being based on features and prices of the products; and
outputting data corresponding to a visual representation of the products in relation to each other based on the value of the products in relation to each other.
16 . A method as recited in claim 15 , wherein the visual representations are presented on a plot of features vs. product price.
17 . A method as recited in claim 15 , further comprising, for at least one of the products, outputting data corresponding to an additional visual representation indicating whether the product is at least one of a good value, a bad value and a comparable value relative to the other products.
18 . A method as recited in claim 15 , further comprising, for at least one of the products, outputting data corresponding to an additional visual representation indicating whether the product has at least one of a larger feature set, a smaller feature set and a comparable feature set relative to the other products.
19 . A method as recited in claim 15 , further comprising receiving user input specifying a subset of the products, and outputting data corresponding to a visual representation of the subset of products.
20 . A method as recited in claim 19 , wherein the user input includes selection of at least one of a price range, a feature set, and a manufacturer of the products.
21 . A method as recited in claim 15 , further comprising, for at least one of the products, outputting data corresponding to an additional visual representation listing a select number of the features of the product, and outputting data corresponding to a link to additional information about the product.
22 . A method as recited in claim 15 , further comprising receiving user input requesting output of information about at least one additional product having some user-selected relationship to one of products.
23 . A method as recited in claim 15 , wherein the products for which data is output are determined to be the most popular products in a larger set of products.
24 . A method as recited in claim 15 , wherein a subset of the visual representations are highlighted based on defined criteria.
25 . A method as recited in claim 15 , further comprising, for at least one of the products, assigning each of the products to at least one group based on the price and feature set of the products, and outputting data corresponding to a visual representation indicative of the grouping.
26 . A method for outputting a comparison of products based on a value of the products, comprising:
under control of a computer:
determining a value of each of a plurality of products relative to the other products, the values being based on features and prices of the products;
outputting data corresponding to a visual representation of the products in relation to each other on a plot of features vs. product price based on the value of the products in relation to each other;
receiving user input specifying a subset of the products, and outputting data corresponding to a visual representation of the subset of products; and
for at least one of the products, outputting data corresponding to an additional visual representation listing a select number of the features of the product, and outputting data corresponding to a link to additional information about the product,
wherein a subset of the visual representations are highlighted based on defined criteria.