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    ACCURATE AND INTERPRETABLE RULES FOR USER SEGMENTATION
    1.
    发明申请
    ACCURATE AND INTERPRETABLE RULES FOR USER SEGMENTATION 有权

    公开(公告)号：US20220058503A1

    公开(公告)日：2022-02-24

    申请号：US17519935

    申请日：2021-11-05

    Applicant: Adobe Inc.

    Inventor： Ritwik Sinha ,  Virgil-Artimon Palanciuc ,  Pranav Ravindra Maneriker ,  Manish Dash ,  Tharun Mohandoss ,  Dhruv Singal

    IPC: G06N5/04 ,  G06N3/04 ,  G06N3/08

    Abstract: Various embodiments describe user segmentation. In an example, potential rules are generated by applying a frequency-based analysis to user interaction data points. Each of the potential rules includes a set of attributes of the user interaction data points and indicates that these data points belong to a segment of interest. An objective function is used to select an optimal set of rules from the potential rules for the segment of interest. The potential rules are used as variable inputs to the objective function and this function is optimized based on interpretability and accuracy parameters. Each rule from the optimal set is associated with a group of the segment of interest. The user interaction data points are segments into the groups by matching attributes of these data points with the rules.

    Summarizing video content based on memorability of the video content
    3.
    发明授权
    Summarizing video content based on memorability of the video content 有权

    公开(公告)号：US10311913B1

    公开(公告)日：2019-06-04

    申请号：US15902046

    申请日：2018-02-22

    Applicant: Adobe Inc.

    Inventor： Sumit Shekhar ,  Harvineet Singh ,  Dhruv Singal ,  Atanu R. Sinha

    IPC: G11B27/031 ,  G06K9/00 ,  G06K9/62

    Abstract: Certain embodiments involve generating summarized versions of video content based on memorability of the video content. For example, a video summarization system accesses segments of an input video. The video summarization system identifies memorability scores for the respective segments. The video summarization system selects a subset of segments from the segments based on each computed memorability score in the subset having a threshold memorability score. The video summarization system generates visual summary content from the subset of the segments.

    Forecasting potential audience size and unduplicated audience size
    5.
    发明授权
    Forecasting potential audience size and unduplicated audience size 有权

    公开(公告)号：US11080745B2

    公开(公告)日：2021-08-03

    申请号：US15435869

    申请日：2017-02-17

    Applicant: Adobe Inc.

    Inventor： Ritwik Sinha ,  Kushal Chawla ,  Yash Shrivastava ,  Dhruv Singal ,  Atanu Ranjan Sinha ,  Deepak Pai

    IPC: G06Q30/02

    Abstract: Forecasting a potential audience size and an unduplicated audience size for a digital campaign includes receiving an audience segment input and a time period input. The audience segment input is converted into multiple atomic target specifications. For each of the multiple atomic target specifications, a potential audience size is determined during the time period input by selecting a time series model based on a frequency of attribute values from the atomic target specification and combining the selected time series model with a frequent item set model. The potential audience size for each of atomic target specifications is aggregated over the time period input into a total potential audience size. The total potential audience size is output. The time series model and the frequent item set model are obtained using data from a historic bid request database.

    Fast And Accurate Rule Selection For Interpretable Decision Sets
    9.
    发明申请
    Fast And Accurate Rule Selection For Interpretable Decision Sets 审中-公开

    公开(公告)号：US20200293836A1

    公开(公告)日：2020-09-17

    申请号：US16353076

    申请日：2019-03-14

    Applicant: Adobe Inc.

    Inventor： Sunny Dhamnani ,  Dhruv Singal ,  Ritwik Sinha

    IPC: G06K9/62 ,  G06N5/02 ,  G06N20/00 ,  G06F16/901

    Abstract: An IDS generator determines multiple classes for electronic data items. The IDS generator determines, for each class, a class-specific candidate ruleset. The IDS generator performs a differential analysis of each class-specific candidate ruleset. The differential analysis is based on differences between result values of a scoring objective function. In some cases, the differential analysis determines at least one of the differences based on additional data structures, such as an augmented frequent-pattern tree. A probability function based on the differences is compared to a threshold probability At least one testing ruleset is modified based on the comparison. The IDS generator determines, for each class, a class-specific optimized ruleset based on the differential analysis of each class-specific candidate ruleset. The IDS generator creates an optimized interpretable decision set based on combined class-specific optimized rulesets for the multiple classes.

    DOCUMENT SEARCH USING GRAMMATICAL UNITS
    10.
    发明申请
    DOCUMENT SEARCH USING GRAMMATICAL UNITS 审中-公开

    公开(公告)号：US20190155913A1

    公开(公告)日：2019-05-23

    申请号：US15816926

    申请日：2017-11-17

    Applicant: Adobe Inc.

    Inventor： Dhruv Singal ,  Ravi Teja Ailavarapu Venkata ,  Tirth Patel ,  Arghya Mukherjee ,  Anandhavelu Natarajan

    IPC: G06F17/30 ,  G10L15/26

    Abstract: Systems and techniques for searching within a document include receiving a query by way of a user interface of an application, and in conjunction with identification of the at least one document. A feature value characterizing a relevance of each grammatical unit of the document to the query may be extracted. The grammatical units may be ranked, based on each feature value of each grammatical unit. At least one selected grammatical unit of the plurality of grammatical units may then be displayed, based on the ranking.

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