GENERATING SESSION-BASED RECOMMENDATIONS USING LARGE LANGUAGE MACHINE-LEARNED MODELS

    公开(公告)号:US20240354556A1

    公开(公告)日:2024-10-24

    申请号:US18640231

    申请日:2024-04-19

    Applicant: Maplebear Inc.

    CPC classification number: G06N3/0455 G06Q30/0631

    Abstract: An online system generates session-based recommendations for a user accessing an application of the online system. The online system receives, from one or more client devices, a sequence of actions performed by a user during a session of an application of an online system. The online system generates a sequence of tokens from the sequence of actions by tokenizing an action to a token representing a respective item identifier. The online system applies a transformer-based machine-learned model to the sequence of tokens to generate predictions for a set of items. The online system selects a subset of items based on the generated predictions for the set of items. The online system generates one or more recommendations to the user from the selected subset of items and displays the recommendations to the user.

    SELECTING RECOMMENDATIONS BASED ON MACHINE LEARNING PREDICTION OF USER SENSITIVITY TO RELEVANCE OF RECOMMENDATIONS TO SEARCH RESULTS

    公开(公告)号:US20250078133A1

    公开(公告)日:2025-03-06

    申请号:US18240157

    申请日:2023-08-30

    Applicant: Maplebear Inc.

    Abstract: Content items are presented to users based on sensitivity scores indicating sensitivity levels of users to relevance of content items to queries. A system receives a query from a target user, retrieves a set of search results responsive to the query, and retrieves a set of content items, each of which has a relevance score to the query. The system applies a machine learning model to user data of the target user to output a sensitivity score, indicating a sensitivity level of the target user to relevance of content item to the query. The system then selects one or more content items based on the sensitivity score and the relevance scores of the content items, incorporates the selected content items into the search results, and sends the search results with the selected content items for display to the target user.

Patent Agency Ranking