Preloaded content selection graph for rapid retrieval

    公开(公告)号:US12197333B2

    公开(公告)日:2025-01-14

    申请号:US17823694

    申请日:2022-08-31

    Abstract: The described technology is generally directed towards maintaining content selection graphs in an in-memory content selection graph data store in association with respective start times that indicates when the respective graphs become active. When a request to return content selection data is received, an active graph that corresponds to the request and the current time is accessed to obtain the requested content selection data. The response data can be prebuilt, e.g., in a set of active graphs for different client types, so that the response can be returned generally as is from the active graph in the set for that particular client type. A Redis cache can be used to maintain the various graph sets, including the active graph sets and graph sets that will become active at a future time.

    GARBAGE COLLECTION OF PRELOADED TIME-BASED GRAPH DATA

    公开(公告)号:US20220147447A1

    公开(公告)日:2022-05-12

    申请号:US17648555

    申请日:2022-01-21

    Abstract: The described technology is generally directed towards garbage collecting content selection graphs and related data from in an in-memory content selection graph data store. When a set of content selection graphs expire, a more current content selection graph set becomes active, and the storage space (e.g., in a Redis cache) used by the expired content selection graphs is reclaimed via garbage collection. Some graphs can be replaced before use, referred to as orphaned graphs, and the storage space for any such orphaned graphs is also reclaimed during garbage collection. Also garbage collected is storage space including related data structures used to generate and validate graphs.

    Garbage collection of preloaded time-based graph data

    公开(公告)号:US11269768B2

    公开(公告)日:2022-03-08

    申请号:US16720838

    申请日:2019-12-19

    Abstract: The described technology is generally directed towards garbage collecting content selection graphs and related data from in an in-memory content selection graph data store. When a set of content selection graphs expire, a more current content selection graph set becomes active, and the storage space (e.g., in a Redis cache) used by the expired content selection graphs is reclaimed via garbage collection. Some graphs can be replaced before use, referred to as orphaned graphs, and the storage space for any such orphaned graphs is also reclaimed during garbage collection. Also garbage collected is storage space including related data structures used to generate and validate graphs.

    Time offset data request handling
    15.
    发明授权

    公开(公告)号:US10425672B2

    公开(公告)日:2019-09-24

    申请号:US15148943

    申请日:2016-05-06

    Abstract: The described technology is directed towards obtaining and returning time offset data instead of current data in response to a data request. The time offset data may be limited to privileged clients only, and only provided thereto when desired, using a time offset value set by the client, for example. For example, a privileged user may request time offset data corresponding to a future time so as to preview how the data may be presented at a future time. Time offset data may be used by a system entity to fill a cache, e.g., as secondary cached data that may be used once primary cached data expires.

    DATA DELIVERY ARCHITECTURE FOR TRANSFORMING CLIENT RESPONSE DATA

    公开(公告)号:US20180322176A1

    公开(公告)日:2018-11-08

    申请号:US15584134

    申请日:2017-05-02

    Abstract: The described technology is directed towards a data transformation pipeline architecture of a data service that processes generalized datasets into datasets (e.g., video data or graph nodes) customized for a particular client device. Described herein is maintaining a set of data transformation models at a data service, and upon receiving a client request for data, selecting a relevant subset of the transformation models and arranging the subset into a data transformation pipeline. In general, the pipeline of transformation models transforms the generalized data into the format and shape that each client device expects. The subset may be selected based upon device type, device class and/or software version information (and possibly state data) sent with each data request. The transformation models may be maintained in a hierarchical data store such as files in a file system to facilitate retrieval by searching the hierarchy for appropriate transformation models.

    COORDINATOR FOR PRELOADING TIME-BASED CONTENT SELECTION GRAPHS

    公开(公告)号:US20230016909A1

    公开(公告)日:2023-01-19

    申请号:US17935766

    申请日:2022-09-27

    Abstract: The described technology is generally directed towards coordinating the generation, validation and enabling of content selection graphs in an in-memory content selection graph data store. When a set of content selection graphs is requested, a coordinator starts the generation of the relevant graphs. Upon successful generation, the coordinator starts a validation of the generated graphs against rules for the nodes/response data in the graphs. If the generated graphs pass validation, the coordinator enables the graph set for use in an in-memory cache, whereby when a request to return content selection data is received, an active graph that corresponds to the request and the current time is accessed to obtain and return the response data as the requested content selection data.

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