ATTRIBUTE NODE WIDGETS IN SEARCH RESULTS FROM AN ITEM GRAPH

    公开(公告)号:US20220179909A1

    公开(公告)日:2022-06-09

    申请号:US17112395

    申请日:2020-12-04

    Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. Example attributes include a brand, a category, a department, or any other suitable information about the item. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and identifies item nodes and attribute nodes related to the search query. The online concierge system identifies item nodes and attribute nodes that are likely to result in a conversion. Information about the identified nodes is presented to the customer. The customer may select an item node to purchase the item, or an attribute node to execute a new search query based on terms associated with the attribute node.

    PROVIDING SEARCH SUGGESTIONS BASED ON PREVIOUS SEARCHES AND CONVERSIONS

    公开(公告)号:US20220108333A1

    公开(公告)日:2022-04-07

    申请号:US17486395

    申请日:2021-09-27

    Abstract: An online concierge system suggests subsequent search queries based on previous search queries and whether the previous search queries resulted in conversions. The online concierge system trains a machine learning model using previous delivery orders and whether initial and subsequent search queries in the previous delivery orders resulted in conversions. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and identifies items related to the search query. In response to the search query resulting in a conversion, the online concierge system retrieves a conversion graph and presents a suggested subsequent search query based on the conversion graph. In response to the search query not resulting in a conversion, the online concierge system retrieves a non-conversion graph and presents a suggested subsequent search query based on the non-conversion graph.

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