Dynamic determination of data facets

A method comprising:

• receiving a dataset comprising a plurality of catalog items, each having a plurality of fields, each of the plurality of fields associated with a respective product category value, wherein each product category value identifies a respective catalog item of the plurality of catalog items as belonging to a particular product category of a plurality of product categories;
• analyzing the dataset to determine, for each field of the plurality of fields, a quantity of the plurality of catalog items belonging to each of the plurality of product categories and a distribution of the plurality of catalog items across the plurality of product categories;
• selecting a subset of fields from the plurality of fields based on the quantity of the plurality of catalog items belonging to each of the plurality of product categories and the distribution of the plurality of catalog items;
• and
• displaying, on a user interface, for each field of the subset of fields, a respective subset of product categories of the plurality of product categories associated with a respective field, wherein each respective product category of the respective subset of product categories indicates a number of catalog items of the plurality of catalog items belonging to the respective product category of the respective subset of product categories.

A system comprising:

• data storage configured to store a dataset comprising a plurality of items and a plurality of fields, wherein each field of the plurality of fields is associated with a plurality of values, and each value of the plurality of values is associated with a subset of items of the plurality of items;
• and
• a facet recommendation engine communicatively coupled to the data storage, wherein the facet recommendation engine is configured to:
• retrieve the dataset stored in the data storage;
• analyze the dataset to determine, for at least one field of the plurality of fields of the dataset, a quantity of the plurality of values and a distribution of the plurality of items across the plurality of values;
• select a subset of fields from the plurality of fields based on the plurality of values and the distribution of the plurality of items;
• and
• cause a plurality of data facets to be displayed on a user interface based on the subset of fields, wherein the plurality of data facets categorizes the plurality of items.

A system comprising:

• one or more processors;
• and
• a memory comprising instructions that, when executed by the one or more processors, are configured to cause the one or more processors to perform operations comprising:
• identifying a dataset comprising a plurality of catalog items, each having a plurality of fields, each of the plurality of fields associated with a respective product category value, wherein each product category value identifies a respective catalog item of the plurality of catalog items as belonging to a particular product category of a plurality of product categories;
• analyzing the dataset to determine, for each field of the plurality of fields, a quantity of the plurality of catalog items belonging to each of the plurality of product categories and a distribution of the plurality of catalog items across the plurality of product categories;
• selecting a subset of fields from the plurality of fields based on the quantity of the plurality of catalog items belonging to each of the plurality of product categories and the distribution of the plurality of catalog items;
• and
• displaying, on a user interface, for each field of the subset of fields, a respective subset of product categories of the plurality of product categories associated with a respective field, wherein each respective product category of the respective subset of product categories indicates a number of catalog items of the plurality of catalog items belonging to the respective product category of the respective subset of product categories.