System and method for generating aspect-enhanced explainable description-based recommendations

    公开(公告)号:US11995564B2

    公开(公告)日:2024-05-28

    申请号:US16246775

    申请日:2019-01-14

    CPC classification number: G06N5/04 G06F16/9024 G06N20/00

    Abstract: A recommendation method includes determining one or more aspects of a first item based on at least one descriptive text of the first item. The recommendation method also includes updating a knowledge graph containing nodes that represent multiple items, multiple users, and multiple aspects. Updating the knowledge graph includes linking one or more nodes representing the one or more aspects of the first item to a node representing the first item with one or more first edges. Each of the one or more first edges identifies weights associated with (i) user sentiment about the associated aspect of the first item and (ii) an importance of the associated aspect to the first item. In addition, the recommendation method includes recommending a second item for a user with an explanation based on at least one aspect linked to the second item in the knowledge graph.

    DEEP PRODUCT PLACEMENT
    2.
    发明申请

    公开(公告)号:US20180013977A1

    公开(公告)日:2018-01-11

    申请号:US15616290

    申请日:2017-06-07

    Abstract: One embodiment provides a method comprising identifying a product placement opportunity for a product in a frame of a piece of content during playback of the piece of content on a display device. The method further comprises determining a location in the frame to insert product placement content for the product based on a learned statistical model representing learned placement patterns related to the product. The method further comprises modifying the product placement content based on one or more objects present in the frame, and inserting a product placement for the product in the piece of content by inserting the modified product placement content in the frame based on the location. The modified product placement content appears to occur naturally in the piece of content.

    Deep product placement
    3.
    发明授权

    公开(公告)号:US10726443B2

    公开(公告)日:2020-07-28

    申请号:US15616290

    申请日:2017-06-07

    Abstract: One embodiment provides a method comprising identifying a product placement opportunity for a product in a frame of a piece of content during playback of the piece of content on a display device. The method further comprises determining a location in the frame to insert product placement content for the product based on a learned statistical model representing learned placement patterns related to the product. The method further comprises modifying the product placement content based on one or more objects present in the frame, and inserting a product placement for the product in the piece of content by inserting the modified product placement content in the frame based on the location. The modified product placement content appears to occur naturally in the piece of content.

    SYSTEM AND METHOD FOR GENERATING ASPECT-ENHANCED EXPLAINABLE DESCRIPTION-BASED RECOMMENDATIONS

    公开(公告)号:US20190392330A1

    公开(公告)日:2019-12-26

    申请号:US16246775

    申请日:2019-01-14

    Abstract: A recommendation method includes determining one or more aspects of a first item based on at least one descriptive text of the first item. The recommendation method also includes updating a knowledge graph containing nodes that represent multiple items, multiple users, and multiple aspects. Updating the knowledge graph includes linking one or more nodes representing the one or more aspects of the first item to a node representing the first item with one or more first edges. Each of the one or more first edges identifies weights associated with (i) user sentiment about the associated aspect of the first item and (ii) an importance of the associated aspect to the first item. In addition, the recommendation method includes recommending a second item for a user with an explanation based on at least one aspect linked to the second item in the knowledge graph.

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