MULTI-DIMENSIONAL FONT SPACE MAPPING AND PRESENTATION
A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing a plurality of items, at least two items of the plurality of items being different. Operations also include representing each of the items in an n-dimensional space, the n-dimensional space being defined by at least one of a first dimension representing an item category of the plurality of items, a second dimension representing an item attribute of the plurality of items, and the first dimension and the second dimension. Operations also include presenting at least a two-dimensional graphical representation of a portion of the plurality of items, the at least two-dimensional graphical representation reflecting at least one of the first dimension, the second dimension, and the first dimension and the second dimension.
1 . A computing device implemented method comprising:
receiving data representing a plurality of items, at least two items of the plurality of items being different;
representing each of the items in an n-dimensional space, the n-dimensional space being defined by at least one of a first dimension representing an item category of the plurality of items, a second dimension representing an item attribute of the plurality of items, and the first dimension and the second dimension; and
presenting at least a two-dimensional graphical representation of a portion of the plurality of items, the at least two-dimensional graphical representation reflecting at least one of the first dimension, the second dimension, and the first dimension and the second dimension.
2 . The computing device implemented method of claim 1 , wherein the n-dimensional space is defined by a third dimension representing similarity of pairs of items included in the plurality of items.
3 . The computing device implemented method of claim 2 , wherein color is used to reflect at least one of the first dimension, the second dimension, and the first dimension and the second dimension in the at least two-dimensional graphical representation.
4 . The computing device implemented method of claim 1 , wherein the plurality of items is a plurality of fonts.
5 . The computing device implemented method of claim 1 , wherein the plurality of items is a plurality of products.
6 . The computing device implemented method of claim 2 , wherein the similarity of the pairs of items is determined from item features and survey data.
7 . The computing device implemented method of claim 1 , wherein the item category of the plurality of items is determined by machine learning.
8 . The computing device implemented method of claim 1 , wherein the item attribute of the plurality of items is determined by machine learning.
9 . The computing device implemented method of claim 1 , wherein a dimensionality reduction process is used to present the two-dimensional graphical representation of the portion of the plurality of items.
10 . The computing device implemented method of claim 2 , wherein the first dimension and the third dimension are represented in the two-dimensional graphical representation, the third dimension being represented in color.
11 . The computing device implemented method of claim 1 , wherein the first dimension and the second dimension are represented in the two-dimensional graphical representation, the first dimension being represented in color.
12 . The computing device implemented method of claim 1 , wherein the two-dimensional graphical representation is visually expandable.
13 . The computing device implemented method of claim 1 , wherein the portion of the plurality of items includes all of the plurality of items based on the two-dimensional graphical representation being visually expanded.
14 . The computing device implemented method of claim 1 , wherein the portion of the plurality of items includes a subset of the plurality of items based on the two-dimensional graphical representation being visually compressed.
15 . The computing device implemented method of claim 14 , wherein the subset of the plurality of items includes items most frequently requested from users.
16 . A system comprising:
a computing device comprising:
a memory configured to store instructions; and
a processor to execute the instructions to perform operations comprising:
receiving data representing a plurality of items, at least two items of the plurality of items being different;
representing each of the items in an n-dimensional space, the n-dimensional space being defined by at least one of a first dimension representing an item category of the plurality of items, a second dimension representing an item attribute of the plurality of items, and the first dimension and the second dimension; and
presenting at least a two-dimensional graphical representation of a portion of the plurality of items, the at least two-dimensional graphical representation reflecting at least one of the first dimension, the second dimension, and the first dimension and the second dimension.
17 . The system of claim 16 , wherein the n-dimensional space is defined by a third dimension representing similarity of pairs of items included in the plurality of items.
18 . The system of claim 17 , wherein color is used to reflect at least one of the first dimension, the second dimension, and the first dimension and the second dimension in the at least two-dimensional graphical representation.
19 . The system of claim 16 , wherein the plurality of items is a plurality of fonts.
20 . The system of claim 16 , wherein the plurality of items is a plurality of products.
21 . The system of claim 17 , wherein the similarity of the pairs of items is determined from item features and survey data.
22 . The system of claim 16 , wherein the item category of the plurality of items is determined by machine learning.
23 . The system of claim 16 , wherein the item attribute of the plurality of items is determined by machine learning.
24 . The system of claim 16 , wherein a dimensionality reduction process is used to present the two-dimensional graphical representation of the portion of the plurality of items.
25 . The system of claim 17 , wherein the first dimension and the third dimension are represented in the two-dimensional graphical representation, the third dimension being represented in color.
26 . The system of claim 16 , wherein the first dimension and the second dimension are represented in the two-dimensional graphical representation, the first dimension being represented in color.
27 . The system of claim 16 , wherein the two-dimensional graphical representation is visually expandable.
28 . The system of claim 16 , wherein the portion of the plurality of items includes all of the plurality of items based on the two-dimensional graphical representation being visually expanded.
29 . The system of claim 16 , wherein the portion of the plurality of items includes a subset of the plurality of items based on the two-dimensional graphical representation being visually compressed.
30 . The system of claim 29 , wherein the subset of the plurality of items includes items most frequently requested from users.
31 . One or more computer readable media storing instructions that are executable by a processing device, and upon such execution cause the processing device to perform operations comprising:
receiving data representing a plurality of items, at least two items of the plurality of items being different;
representing each of the items in an n-dimensional space, the n-dimensional space being defined by at least one of a first dimension representing an item category of the plurality of items, a second dimension representing an item attribute of the plurality of items, and the first dimension and the second dimension; and
presenting at least a two-dimensional graphical representation of a portion of the plurality of items, the at least two-dimensional graphical representation reflecting at least one of the first dimension, the second dimension, and the first dimension and the second dimension.
32 . The computer readable media of claim 31 , wherein the n-dimensional space is defined by a third dimension representing similarity of pairs of items included in the plurality of items.
33 . The computer readable media of claim 32 , wherein color is used to reflect at least one of the first dimension, the second dimension, and the first dimension and the second dimension in the at least two-dimensional graphical representation.
34 . The computer readable media of claim 31 , wherein the plurality of items is a plurality of fonts.
35 . The computer readable media of claim 31 , wherein the plurality of items is a plurality of products.
36 . The computer readable media of claim 32 , wherein the similarity of the pairs of items is determined from item features and survey data.
37 . The computer readable media of claim 31 , wherein the item category of the plurality of items is determined by machine learning.
38 . The computer readable media of claim 31 , wherein the item attribute of the plurality of items is determined by machine learning.
39 . The computer readable media of claim 31 , wherein a dimensionality reduction process is used to present the two-dimensional graphical representation of the portion of the plurality of items.
40 . The computer readable media of claim 32 , wherein the first dimension and the third dimension are represented in the two-dimensional graphical representation, the third dimension being represented in color.
41 . The computer readable media of claim 31 , wherein the first dimension and the second dimension are represented in the two-dimensional graphical representation, the first dimension being represented in color.
42 . The computer readable media of claim 31 , wherein the two-dimensional graphical representation is visually expandable.
43 . The computer readable media of claim 33 , wherein the portion of the plurality of items includes all of the plurality of items based on the two-dimensional graphical representation being visually expanded.
44 . The computer readable media of claim 31 , wherein the portion of the plurality of items includes a subset of the plurality of items based on the two-dimensional graphical representation being visually compressed.
45 . The computer readable media of claim 44 , wherein the subset of the plurality of items includes items most frequently requested from users.