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    Systems and methods for predicting violative content items
    2.
    发明授权
    Systems and methods for predicting violative content items 有权

    公开(公告)号：US12108112B1

    公开(公告)日：2024-10-01

    申请号：US18060520

    申请日：2022-11-30

    申请人： Spotify AB

    发明人： Antonio Lima ,  Shahar Elisha ,  Mariano Beguerisse Díaz ,  Maria Dominguez

    IPC分类号： H04N21/454 ,  H04N21/258

    CPC分类号： H04N21/454 ,  H04N21/25866

    摘要： An electronic device identifies a set of seed content items that correspond to violative content items. The electronic device determines, using playback histories indicating consumption of respective content items, connections between a respective content item and a first audience that has consumed the respective content item and that has consumed at least a threshold number of seed content items from the set of seed content items. The electronic device provides information corresponding to the connections as an input to a machine learning model. The electronic device receives, as an output from the machine learning model, likelihoods that respective content items are violative content items and stores a set of content items, selected using the output from the machine learning model, as candidate content items in accordance with a determination that the content item satisfies likelihood criteria.

    SYSTEMS AND METHODS FOR PREDICTING COMPLETE QUERIES
    4.
    发明公开
    SYSTEMS AND METHODS FOR PREDICTING COMPLETE QUERIES 审中-公开

    公开(公告)号：US20240281445A1

    公开(公告)日：2024-08-22

    申请号：US18171247

    申请日：2023-02-17

    申请人： Spotify AB

    发明人： Enrico Palumbo ,  Rui André Augusto Ferreira ,  Hugues Bouchard ,  Humberto Jesús Corona Pampín

    IPC分类号： G06F16/2457 ,  G06F16/28

    CPC分类号： G06F16/24573 ,  G06F16/285

    摘要： An electronic device generates training data to train a classifier to classify a respective search query as complete or incomplete, including: obtaining a first search query input by a first user; determining a media content item selected by the first user from the first search query; comparing metadata associated with the media content item with the first search query input by the first user; and labeling the first search query as complete or incomplete based on the comparison. The electronic device trains the classifier, using the generated training data, to classify a respective search query as complete or incomplete and uses the trained classifier to determine whether a second search query is complete or incomplete. The electronic device provides, for display, for a second user, one or more complete search queries as recommendations for a received search query, including the second search query if second search query is complete.

    SYSTEMS AND METHODS FOR DETECTING MISMATCHED CONTENT
    7.
    发明公开
    SYSTEMS AND METHODS FOR DETECTING MISMATCHED CONTENT 审中-公开

    公开(公告)号：US20240232257A9

    公开(公告)日：2024-07-11

    申请号：US18048383

    申请日：2022-10-20

    申请人： Spotify AB

    发明人： Desi Hristova ,  Brian Regan ,  Nicola Montecchio

    IPC分类号： G06F16/65 ,  G06F16/64 ,  G06F16/683

    CPC分类号： G06F16/65 ,  G06F16/64 ,  G06F16/683

    摘要： An electronic device obtains a plurality of media items, including, for each media item in the plurality, a set of attributes of the media item. The device provides the set of attributes for each media item of the plurality of media items to a machine learning model that is trained to determine a pairwise similarity between respective media items in the plurality of media items and generates an acyclic graph of an output of the machine learning model that is trained to determine pairwise similarity distances between respective media items in the plurality of media items. The device clusters nodes of the acyclic graph, each node corresponding to a media item. Based on the clustering, the electronic device modifies metadata associated with a first media item in a first cluster and displays a representation of the first media item in a user interface according to the modified metadata.

    Method and System for Selecting a Voice Assistant
    8.
    发明公开
    Method and System for Selecting a Voice Assistant 审中-公开

    公开(公告)号：US20240221754A1

    公开(公告)日：2024-07-04

    申请号：US18090081

    申请日：2022-12-28

    申请人： Spotify AB

    发明人： Daniel BROMAND ,  Björn Erik ROTH

    IPC分类号： G10L15/32 ,  G10L15/01 ,  G10L15/08 ,  G10L15/22

    CPC分类号： G10L15/32 ,  G10L15/01 ,  G10L15/08 ,  G10L15/22 ,  G10L2015/088

    摘要： A method for processing voice input is disclosed. The method may be performed by a device including a voice assistant manager and a plurality of voice assistants. In some embodiments, the method includes receiving an utterance from a user, detecting a category of the utterance, and communicating the utterance to a selected voice assistant of the plurality of voice assistants. The selected voice assistant may be associated with the detected category. In some embodiments, the selected voice assistant may generate a response to utterance, and the response may be output to the user.

    PARSE ARBITRATOR FOR ARBITRATING BETWEEN CANDIDATE DESCRIPTIVE PARSES GENERATED FROM DESCRIPTIVE QUERIES
    9.
    发明公开
    PARSE ARBITRATOR FOR ARBITRATING BETWEEN CANDIDATE DESCRIPTIVE PARSES GENERATED FROM DESCRIPTIVE QUERIES 审中-公开

    公开(公告)号：US20240211500A1

    公开(公告)日：2024-06-27

    申请号：US18146276

    申请日：2022-12-23

    申请人： Spotify AB

    发明人： Kristen Sheets ,  Matthew McKenna ,  Yakov Kronrod

    IPC分类号： G06F16/33 ,  G06F16/35 ,  G06F40/205

    CPC分类号： G06F16/3344 ,  G06F16/355 ,  G06F40/205

    摘要： A parse arbitrator receives a rule-based parser predictive test result indicating whether a first set contains at least one predictive slot and a descriptive classifier test result indicating whether the digitized descriptive query is descriptive. The parse arbitrator instructs a fulfillment system to perform a fulfillment operation based on the first set when the rule-based parser predictive test result and the descriptive classifier test result align and instructs a fulfillment system to perform a fulfillment operation based on a second set when the rule-based parser predictive test result and the descriptive classifier test result do not align. The first set has been generated by using a first parser to parse a digitized descriptive query and the second set has been generated by using a second parser to parse the digitized descriptive query.

    TRAINING AND TESTING UTTERANCE-BASED FRAMEWORKS
    10.
    发明公开
    TRAINING AND TESTING UTTERANCE-BASED FRAMEWORKS 审中-公开

    公开(公告)号：US20240203401A1

    公开(公告)日：2024-06-20

    申请号：US18530702

    申请日：2023-12-06

    申请人： Spotify AB

    发明人： Daniel Bromand

    IPC分类号： G10L15/06 ,  G06F7/58 ,  G10L13/02 ,  G10L15/07

    CPC分类号： G10L15/063 ,  G06F7/582 ,  G10L13/02 ,  G10L15/07 ,  G10L2015/0635

    摘要： Systems, methods, and devices for training and testing utterance based frameworks are disclosed. The training and testing can be conducting using synthetic utterance samples in addition to natural utterance samples. The synthetic utterance samples can be generated based on a vector space representation of natural utterances. In one method, a synthetic weight vector associated with a vector space is generated. An average representation of the vector space is added to the synthetic weight vector to form a synthetic feature vector. The synthetic feature vector is used to generate a synthetic voice sample. The synthetic voice sample is provided to the utterance-based framework as at least one of a testing or training sample.