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公开(公告)号:US20220309552A1
公开(公告)日:2022-09-29
申请号:US17214242
申请日:2021-03-26
Applicant: eBay Inc.
Inventor: Tomer LANCEWICKI , Sanjika HEWAVITHARANA , Bindia SARAF , Vanuj JUNEJA , Dhaval D KARWA
Abstract: Technologies are shown for artificial intelligence agents for predicting items of interest utilizing multiple data sources, such as historical user behavior, item wear profiles, inventory data and social network data. User models to the multiple sources of data to predict an item of interest to the user. Search requests pertaining to the predicted item can be generated and submitted to electronic commerce platforms and results responsive to the first set of search requests pertaining to the first predicted item received. In one aspect, one or more of the search results can be selected for display to the user. A search result selected by the user can be received and a purchase transaction committed. In another aspect, the agent is authorized to autonomously execute a purchase transaction on a selected one of the search results. Different model types can be utilized for predicting different types of items.