Relevance-Based Image Selection
    2.
    发明申请

    公开(公告)号:US20180349391A1

    公开(公告)日:2018-12-06

    申请号:US16100414

    申请日:2018-08-10

    Applicant: Google LLC

    Abstract: A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

    Systems and methods for searching quotes of entities using a database

    公开(公告)号:US11250052B1

    公开(公告)日:2022-02-15

    申请号:US16232930

    申请日:2018-12-26

    Applicant: Google LLC

    Abstract: Systems and methods are provided for searching and identifying quotes in response to a query from a user. Consistent with certain embodiments, systems and methods are provided for identifying one or more subject entities associated with the query and for identifying, from a database or from search results obtained in response to the query, a set of quotes corresponding to the one or more subject entities. Further, systems and methods are provided for determining quote scores for the identified quotes based on at least one of the relationship of each quote to the one or more subject entities, the recency of each quote, and the popularity of each quote. Additionally, systems and methods are provided for organizing the identified quotes in a rank order based on the quote scores and selecting quotes based on the rank order or based on the quote scores. In addition, systems and methods are provided for transmitting information to display the selected quotes on a display device.

    Semi structured question answering system

    公开(公告)号:US10346485B1

    公开(公告)日:2019-07-09

    申请号:US15807514

    申请日:2017-11-08

    Applicant: GOOGLE LLC

    Abstract: In one example embodiment, a computer system includes at least one processor and a memory storing a data graph and instructions. The instructions, when executed by the at least one processor, cause the system to generate a template sentence based on a fact including a first node, a second node and a string, wherein the first node and the second node exist in the data graph and the string represents a fact that is absent from the data graph, search the internet for a document including the template sentence, and upon determining the internet includes the document with the template sentence, infer the fact by generating a series of connections between nodes and edges of the data graph that together with the first node and the second node are configured to represent the fact, the series of connections defining a path, in the data graph, from the first node to the second node.

    Relevance-based image selection
    5.
    发明授权

    公开(公告)号:US11017025B2

    公开(公告)日:2021-05-25

    申请号:US16100414

    申请日:2018-08-10

    Applicant: Google LLC

    Abstract: A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

    Selecting textual representations for entity attribute values

    公开(公告)号:US10685073B1

    公开(公告)日:2020-06-16

    申请号:US15669799

    申请日:2017-08-04

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting textual representations for entity attribute values. One of the methods includes receiving, for presentation to a user, data identifying a relevant entity and a respective presentation attribute value for each of a plurality of presentation attributes associated with the relevant entity; obtaining user profile data for the user; selecting a respective textual representation for each of the presentation attribute values, wherein selecting the textual representations comprises selecting a first alternative textual representation for a first presentation attribute value based on the user profile data; and providing data identifying the entity and the textual representations for presentation to the user.

    Relevance-Based Image Selection
    7.
    发明申请

    公开(公告)号:US20210349944A1

    公开(公告)日:2021-11-11

    申请号:US17328442

    申请日:2021-05-24

    Applicant: Google LLC

    Abstract: A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

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