There are several scheme-types available. These can be set via the scheme-endpoint.
These types help aiPhilos interpret and classify you data, so that searches can be more accurate.
The following scheme-types can be set:general.auto general.off product.number product.name product.category product.description product.price product.gtin product.manufacturer product.manufacturer_number product.stock product.supplier product.supplier_number product.rating product.state order.frequency
- general.auto aiPhilos standard mode of interpretation
- general.off tells aiPhilos not to interpret this field
- product.number a number representing the item
- product.name the name of the item
- product.category which category the item belongs to
- product.description a description of the item
- product.price the price of the item
- product.gtin the global trade item number
- product.manufacturer who manufactures the item
- product.manufacturer_number a number representing the manufacturer
- product.stock the number of items in stock
- product.supplier who supplies the item
- product.supplier_number a number representing the supplier
- product.rating a rating for the item
- product.state information containing the state of the item
- order.frequency information on how often the item is ordered
Setting a scheme allows aiPhilos to be more specific and accurate when interpreting the items of your shop and therefore allowing for better search result. Item-fields for which no scheme is set are interpreted as type general.auto, meaning that aiPhilos will analyze their contents and use this additional information when classifying an item. If you want to explicitly exclude some fields you need to set their scheme-type to general.off.
The general rule of thumb is, that the more accurate you set the scheme-types of your data (e. g. setting the manufacturers, the ratings, prices etc) the better aiPihlos will be able to interpret the items in your shop and the better the results will be eventually.