Generalizing a segment from user data attributes
A data server may support segment identification based on a selected user profile. For example, a user may select a user profile as the basis for identifying a segment of additional user profiles. The server may identify attributes associated with the selected user identifier and generate an expression based on the identified subset. The expression may include a normalization function corresponding to at least one attribute. The normalization function may identify correlated attribute values for an attribute associated with the selected user profile. The data server may query a data storage system to identify the additional user profiles based on the expression. The data server may also support user defined Boolean expressions such that the expression is used to identify user identifiers associated with a first attribute and a second attribute.
1. A method for data processing, comprising:
identifying a subset of a plurality of data attributes associated with a user identifier of a plurality of user identifiers stored in a data storage system, wherein the subset of data attributes are identified as a basis for generating a segment of user identifiers;
generating at least one expression for one or more of the subset of data attributes, wherein the at least one expression includes a normalization function corresponding to at least one of the one or more of the subset of data attributes, wherein the normalization function identifies correlated data attribute values to a data attribute value of the at least one of the one or more of the subset of data attributes, and wherein an expression of the at least one expression comprises a Boolean expression that is configured to identify user identifiers associated with a first attribute and user identifiers associated with a second attribute; and
querying the data storage system to identify additional user identifiers to generate the segment of user identifiers using the at least one expression, wherein the expression identifies the additional user identifiers based on data attributes associated with the additional user identifiers, and wherein the querying returns the additional user identifiers that are associated with both the first attribute and the second attribute.
2. The method of claim 1 , further comprising:
receiving, at the data storage system, a selection of the one or more of the subset of data attributes, wherein the selection is received at a tile of user interface displaying the plurality of data attributes associated with the user identifier.
3. The method of claim 1 , further comprising:
receiving, at the data storage system, a selection of the user identifier of the plurality of user identifiers, wherein the subset of the plurality of data attributes are identified responsive to the selection of the user identifier.
4. The method of claim 1 , wherein the at least one expression includes an expression identifying a value corresponding to a data attribute of the subset of data attributes.
5. The method of claim 1 , wherein the normalization function is generated using a machine learning predictive procedure.
6. The method of claim 1 , wherein the normalization function identifies the correlated data attribute values based on ranges corresponding to the one or more of the subset of data attributes.
7. The method of claim 1 , further comprising:
triggering display of the at least one expression at a user interface, wherein the at least one expression is editable at the user interface.
8. An apparatus for data processing, comprising:
a processor,
memory coupled with the processor; and
instructions stored in the memory and executable by the processor to cause the apparatus to:
identify a subset of a plurality of data attributes associated with a user identifier of a plurality of user identifiers stored in a data storage system, wherein the subset of data attributes are identified as a basis for generating a segment of user identifiers;
generate at least one expression for one or more of the subset of data attributes, wherein the at least one expression includes a normalization function corresponding to at least one of the one or more of the subset of data attributes, wherein the normalization function identifies correlated data attribute values to a data attribute value of the at least one of the one or more of the subset of data attributes, and wherein an expression of the at least one expression comprises a Boolean expression that is configured to identify user identifiers associated with a first attribute and user identifiers associated with a second attribute; and
query the data storage system to identify additional user identifiers to generate the segment of user identifiers using the at least one expression, wherein the expression identifies the additional user identifiers based on data attributes associated with the additional user identifiers, and wherein the query returns the additional user identifiers that are associated with both the first attribute and the second attribute.
9. The apparatus of claim 8 , wherein the instructions are further executable by the processor to cause the apparatus to:
receive, at the data storage system, a selection of the one or more of the subset of data attributes, wherein the selection is received at a tile of user interface displaying the plurality of data attributes associated with the user identifier.
10. The apparatus of claim 8 , wherein the instructions are further executable by the processor to cause the apparatus to:
receive, at the data storage system, a selection of the user identifier of the plurality of user identifiers, wherein the subset of the plurality of data attributes are identified responsive to the selection of the user identifier.
11. The apparatus of claim 8 , wherein the at least one expression includes an expression identifying a value corresponding to a data attribute of the subset of data attributes.
12. The apparatus of claim 8 , wherein the normalization function is generated using a machine learning predictive procedure.
13. The apparatus of claim 8 , wherein the normalization function identifies the correlated data attribute values based on ranges corresponding to the one or more of the subset of data attributes.
14. The apparatus of claim 8 , wherein the instructions are further executable by the processor to cause the apparatus to:
trigger display of the at least one expression at a user interface, wherein the at least one expression is editable at the user interface.
15. A non-transitory computer-readable medium storing code for data processing, the code comprising instructions executable by a processor to:
identify a subset of a plurality of data attributes associated with a user identifier of a plurality of user identifiers stored in a data storage system, wherein the subset of data attributes are identified as a basis for generating a segment of user identifiers;
generate at least one expression for one or more of the subset of data attributes, wherein the at least one expression includes a normalization function corresponding to at least one of the one or more of the subset of data attributes, wherein the normalization function identifies correlated data attribute values to a data attribute value of the at least one of the one or more of the subset of data attributes, and wherein an expression of the at least one expression comprises a Boolean expression that is configured to identify user identifiers associated with a first attribute and user identifiers associated with a second attribute; and
query the data storage system to identify additional user identifiers to generate the segment of user identifiers using the at least one expression, wherein the expression identifies the additional user identifiers based on data attributes associated with the additional user identifiers, and wherein the query returns the additional user identifiers that are associated with both the first attribute and the second attribute.