US 2026/0073440 A1 · ITEM RETRIEVAL USING SYNTHETIC ITEMS FROM GENERATIVE MODEL

Abstract

Some aspects relate to technologies for using synthetic items generated by a generative model to perform item retrieval for a listing platform based on seed item listings. In some examples, a textual indication of a seed item listing from a listing platform is received. Based on the seed item listing, a textual indication of one or more synthetic items generated by a generative model are obtained. The textual indication of each synthetic item can be generated by the generative model at runtime or previously generated by the generative model and retrieved at runtime using one or more caching techniques. A search is performed on an item listings data store for the listing platform based on the textual indication of the one or more synthetic items to identify one or more item listings. An indication of the one or more item listings is provided for presentation as item listing recommendations.

Claims20

Dependent claims

One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations, the operations comprising:

receiving a textual indication of a seed item listing from a listing platform;
obtaining, based on the seed item listing, a textual indication of one or more synthetic items generated by a generative model;
performing a search on an item listings data store for the listing platform based on the textual indication of the one or more synthetic items to identify one or more item listings;
and
providing an indication of the one or more item listings for presentation.

2 more elements

A computer system comprising:

one or more processors;
and
one or more computer storage media storing computer-useable instructions that, when used by the one or more processors, causes the computer system to perform operations comprising:
receiving a textual indication of a seed item listing from a listing platform;
obtaining, based on the seed item listing, a textual indication of one or more synthetic items generated by a generative model by:
performing a lookup on a key-value store based on the textual indication of the seed item listing,
when determining an exact match for the seed item listing is present in the key-value store, retrieving a textual indication of one or more synthetic items generated by the generative model for the exact match,
when determining an exact match for the seed item listing is absent in the key-value store, performing a search on an approximate match data store based on the textual indication of the seed item listing to identify a similar item listing and retrieving a textual indication of one or more synthetic items generated by the generative model for the similar item listing, the approximate match data store storing an indication of each item listing for which the generative model has generated synthetic items;
and
performing a search on an item listings data store for the listing platform based on the textual indication of the one or more synthetic items to identify one or more item listings;
and
providing an indication of the one or more item listings for presentation.

9 more elements

Dependencies are inferred from the claim text.

Item retrieval using synthetic items from generative model

Life of this patent

Item retrieval using synthetic items from generative model

Life of this patent

Abstract

Claims20