公开(公告)号：US11977577B2

公开(公告)日：2024-05-07

申请号：US18331245

申请日：2023-06-08

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/00 ,  G06F16/635 ,  G06F16/638 ,  G06F18/21

CPC classification number: G06F16/637 ,  G06F16/639 ,  G06F18/217

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US20230376529A1

公开(公告)日：2023-11-23

申请号：US18331245

申请日：2023-06-08

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/635 ,  G06F16/638 ,  G06F18/21

CPC classification number: G06F16/637 ,  G06F16/639 ,  G06F18/217

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US20220237226A1

公开(公告)日：2022-07-28

申请号：US17687773

申请日：2022-03-07

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/635 ,  G06K9/62 ,  G06F16/638

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US20200012681A1

公开(公告)日：2020-01-09

申请号：US16502975

申请日：2019-07-03

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra

IPC: G06F16/635 ,  G06F16/638 ,  G06K9/62

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US11709886B2

公开(公告)日：2023-07-25

申请号：US17687773

申请日：2022-03-07

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Alois Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/00 ,  G06F16/635 ,  G06F16/638 ,  G06F18/21

CPC classification number: G06F16/637 ,  G06F16/639 ,  G06F18/217

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US11301513B2

公开(公告)日：2022-04-12

申请号：US16502975

申请日：2019-07-03

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/00 ,  G06F16/635 ,  G06K9/62 ,  G06F16/638

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.