公开(公告)号：US11238080B2

公开(公告)日：2022-02-01

申请号：US16426754

申请日：2019-05-30

Applicant: Google LLC

Inventor： Radhika Malpani ,  Elin R. Pedersen

IPC: G06F16/35 ,  G06F16/9535

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for aggregating task data for multiple users. In one aspect, a method includes accessing action trail data that corresponds to a task and resources related to that task, wherein each task relates to one or more related topics and is defined by a sequence of user actions corresponding to the resources related to that task; clustering the action trails based on the action trail data such that each action trail cluster corresponds to a particular task and includes the action trails corresponding to that particular task; and for each action trail cluster, ranking the resources that correspond to the included action trails according to the topics of the particular task.

公开(公告)号：US10353938B1

公开(公告)日：2019-07-16

申请号：US13778627

申请日：2013-02-27

Applicant: Google LLC

Inventor： Radhika Malpani ,  Elin R. Pedersen

IPC: G06F16/30 ,  G06F16/35

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for aggregating task data for multiple users. In one aspect, a method includes accessing action trail data that corresponds to a task and resources related to that task, wherein each task relates to one or more related topics and is defined by a sequence of user actions corresponding to the resources related to that task; clustering the action trails based on the action trail data such that each action trail cluster corresponds to a particular task and includes the action trails corresponding to that particular task; and for each action trail cluster, ranking the resources that correspond to the included action trails according to the topics of the particular task.

公开(公告)号：US20220147551A1

公开(公告)日：2022-05-12

申请号：US17581407

申请日：2022-01-21

Applicant: GOOGLE LLC

Inventor： Radhika Malpani ,  Elin R. Pedersen

IPC: G06F16/35 ,  G06F16/9535

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for aggregating task data for multiple users. In one aspect, a method includes accessing action trail data that corresponds to a task and resources related to that task, wherein each task relates to one or more related topics and is defined by a sequence of user actions corresponding to the resources related to that task; clustering the action trails based on the action trail data such that each action trail cluster corresponds to a particular task and includes the action trails corresponding to that particular task; and for each action trail cluster, ranking the resources that correspond to the included action trails according to the topics of the particular task.

公开(公告)号：US20190278794A1

公开(公告)日：2019-09-12

申请号：US16426754

申请日：2019-05-30

Applicant: Google LLC

Inventor： Radhika Malpani ,  Elin R. Pedersen

IPC: G06F16/35

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for aggregating task data for multiple users. In one aspect, a method includes accessing action trail data that corresponds to a task and resources related to that task, wherein each task relates to one or more related topics and is defined by a sequence of user actions corresponding to the resources related to that task; clustering the action trails based on the action trail data such that each action trail cluster corresponds to a particular task and includes the action trails corresponding to that particular task; and for each action trail cluster, ranking the resources that correspond to the included action trails according to the topics of the particular task.

公开(公告)号：US20190171689A1

公开(公告)日：2019-06-06

申请号：US16211209

申请日：2018-12-05

Applicant: GOOGLE LLC

Inventor： Ahmed Kachkach ,  Yi-fan Chen ,  Karthik Lakshmanan ,  Sally Goldman ,  Puneet Chopra ,  Radhika Malpani ,  Jeremy Shute ,  Berna Erol

IPC: G06F16/9538 ,  G06F3/0482 ,  G06F16/2457 ,  G06F16/28 ,  G06F16/9535

Abstract: A search computing system receives an interaction history for one or more respective users describing interactions with one or more items and generates a co-interaction matrix, each value in the co-interaction matrix representing a number of common users determined to have had the interaction with an item of a corresponding row and an item of the corresponding column of the co-interaction matrix where the value is located. The search computing system generates an embeddings matrix comprising an item embedding value for each of the one or more items by applying matrix factorization to the co-interaction matrix and determines, in response to a search query of a particular user, a user embedding value for the searching user based on the interaction history for the searching user. The search computing system determines a similarity between each search result and user interaction history by comparing the user embedding value against each of the item embedding values.