A search system includes circuitry that receives input data including a request from a user; displays, as search target information, one or more search target candidates satisfying a search condition among search targets, the one or more search target candidates being acquired by searching a database of the search targets by using the received input data as the search condition; and receives, as an input, first additional information based on first input information of the one or more search target candidates, the first additional information including an additional search condition that differs according to a search target candidate selected from among the one or more search target candidates.

An apparatus for performing product matching may include: a processor configured to receive a search as product item for searching for a catalog product that matches a target product; classify the target product in a product taxonomy tree including a plurality of taxonomy nodes, by identifying a taxonomy node to which the target product belongs, among the taxonomy nodes; obtain product data associated with the target product from an internal source and an external source and measure data quality; extract attributes from the product data based on a machine learning model; validate the attribute in response to the attribute corresponding to defined mandatory attribute of the taxonomy node to which the target product belongs, and provide a search result based on the validated attributes; re-rank searched results governed by relevancy score and display matched set of products to the customer above defined re-rank confidence score.

A method including obtaining one or more predicted shelves corresponding to the keyword query. The method additionally can include generating linked categorical facets corresponding to the one or more predicted shelves based on shelf-categorical facet linkages. The method further can include generating, using fuzzy matching, candidate shelf-specific facets based on shelf-specific facet representation mappings and the linked categorical facets. The method additionally can include determining one or more shelf-specific facets from the candidate shelf-specific facets based on facet information in the candidate shelf-specific facets. The one or more shelf-specific facets can correspond to one or more shelves of the one or more predicted shelves. The method further can include outputting the one or more shelves and one or more respective shelf-specific facets of the one or more shelf-specific facets that correspond to each of the one or more shelves. Other embodiments are described.

A product information processing method includes: acquiring information of a plurality of second products from at least one other product information system related to a target product information system; determining a plurality of same-model/similar-model product pairs by performing a matching determination between the plurality of second products and a plurality of first products in the target product information system; respectively acquiring price information of the first product and the second product in the product pairs, wherein the price information includes: respective product price information and logistics price information for sales to users in a plurality of destination countries/regions in a corresponding product information system; and providing comparison result information from a price comparison of the first product and the second product in the product pairs on a destination country/region dimension.

Provided is a product management device comprising: an acquisition means that acquires sensor information containing information relating to a plurality of displayed identical products; a state estimation means that estimates, on the basis of the sensor information, an individual state of each of the plurality of individual identical displayed products; an extraction means that extracts, on the basis of the individual state of each of the plurality of identical products, from the plurality of individual identical products, a specific product that is an individual product having a relatively different individual state; and an output means that outputs specific product information relating to the specific product.

To propose a cosmetic product that is suitable for an individual skin problem of a user. An information processing apparatus includes an estimation unit and a providing unit. The estimation unit estimates a degree of resolution of a skin problem of a user for each cosmetic product. The providing unit provides information indicating a degree of resolution of a target cosmetic product based on the degree of resolution that is estimated by the estimation unit for each cosmetic product.