Cross-domain action prediction
    3.
    发明授权

    公开(公告)号:US11556822B2

    公开(公告)日:2023-01-17

    申请号:US16884151

    申请日:2020-05-27

    申请人: Oath Inc.

    摘要: One or more computing devices, systems, and/or methods for cross-domain action prediction are provided. Action sequence embeddings are generated based upon a textual embedding and a graph embedding utilizing past user action sequences corresponding to sequences of past actions performed by users across a plurality of domains. An autoencoder is trained to utilize the action sequence embeddings to project the action sequence embeddings to obtain intent space vectors. A service switch classifier is trained using the intent space vectors. In response to the service switch classifier predicting that a current user will switch from a current domain to a next domain, the current user is provided with a recommendation of an action corresponding to the next domain.

    Systems and methods for providing and using an internet sentiment index

    公开(公告)号:US11538067B2

    公开(公告)日:2022-12-27

    申请号:US17038378

    申请日:2020-09-30

    申请人: Oath Inc.

    IPC分类号: G06Q30/02

    摘要: Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

    Traveler recommendations
    6.
    发明授权

    公开(公告)号:US11514500B2

    公开(公告)日:2022-11-29

    申请号:US16715120

    申请日:2019-12-16

    申请人: Oath Inc.

    摘要: One or more computing devices, systems, and/or methods for providing recommendations to travelers are provided. For example, locational data associated with a device of a user is evaluated to identify a set of location points at which the device was located over time. Location point pairings are generated from the set of location points, where a location point pairing may comprise a departure location point and an arrival location point. The location point pairings are filtered based upon various criteria to remove location point pairings that are not indicative of air flight travel (e.g., a location point pairing not satisfying an air flight speed threshold or an air flight travel distance threshold). The user may be determined as an air flight traveler that has recently used air flight travel to reach a destination location. A recommendation of content for the destination location is provided to the user.

    Tracking user interaction with a stream of content

    公开(公告)号:US11488213B2

    公开(公告)日:2022-11-01

    申请号:US16459338

    申请日:2019-07-01

    申请人: Oath Inc.

    摘要: A seemingly infinite and continuous stream of online content can be tracked by a movement tracker that can track an amount of movement of a stream of content. For example, such a movement tracker can track the amount of movement per session of a client-side application, such as per session of a web browser. In an example, the tracking of the movement can occur by tracking a measurable parameter of the stream that indicates the amount of movement, such as scroll distance. The movement tracker may also be configured to determine user interaction data according to the tracked amount of movement.

    Collaborative personalization via simultaneous embedding of users and their preferences

    公开(公告)号:US11488028B2

    公开(公告)日:2022-11-01

    申请号:US15476685

    申请日:2017-03-31

    申请人: Oath Inc.

    摘要: A method is provided, including: processing interactions by a plurality of users with a plurality of content items, the content items being provided over a network in response to user requests received over the network, wherein each content item is associated with one or more entities; for each user, determining a user entity set that includes entities associated with content items with which the user interacted; embedding the users and the entities in a vector space, wherein the embedding is configured to place a given user, and the entities of the given user's user entity set, in proximity to each other in the vector space; for each user, performing a proximity search in the vector space to identify a set of nearest entities to the user in the vector space; for each user, generating a user profile using the identified set of nearest entities to the user.

    Model for serving exploration traffic

    公开(公告)号:US11481800B2

    公开(公告)日:2022-10-25

    申请号:US16897609

    申请日:2020-06-10

    申请人: Oath Inc.

    摘要: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

    Latent user communities
    10.
    发明授权

    公开(公告)号:US11444909B2

    公开(公告)日:2022-09-13

    申请号:US16699962

    申请日:2019-12-02

    申请人: Oath Inc.

    摘要: A method implemented by at least one server computer is provided, including: providing, over the Internet, access to a plurality of topics, wherein each topic includes, and further provides access to, a plurality of posted items; recording interaction data for the plurality of topics, the interaction data identifying user activity occurring within each of the topics; analyzing the interaction data to identify clusters of topics that exhibit similar behavioral patterns; for each cluster of topics, generating a community that includes the topics in the cluster; providing, over the Internet, access to the communities, wherein accessing a given community further provides access to the topics included in that community, which further provide access to the posted items that are included in the topics within that community.