Abstract: Some aspects relate to technologies for generating pivots using a generative model and grouping items into pivot groups using the pivots. Pivots are generated by obtaining item information for items, generating a prompt using the item information, and causing a generative model to use the prompt to generate text for the pivots, including a pivot name and pivot description for each pivot. A pivot embedding is also generated for each pivot. When items are to be returned to a user device (e.g., as recommended items or search result items), item embeddings for the items and the pivot embeddings for the pivots are used to assign each item to a particular pivot to generate pivot groups that each includes a pivot name, a pivot description, and assigned items. User interface information is provided to present at least a portion of the pivot groups on a user device.

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.

Abstract: Some aspects relate to technologies for generating pivots using a generative model and grouping items into pivot groups using the pivots. Pivots are generated by obtaining item information for items, generating a prompt using the item information, and causing a generative model to use the prompt to generate text for the pivots, including a pivot name and pivot description for each pivot. A pivot embedding is also generated for each pivot. When items are to be returned to a user device (e.g., as recommended items or search result items), item embeddings for the items and the pivot embeddings for the pivots are used to assign each item to a particular pivot to generate pivot groups that each includes a pivot name, a pivot description, and assigned items. User interface information is provided to present at least a portion of the pivot groups on a user device.