公开(公告)号：US20250005085A1

公开(公告)日：2025-01-02

申请号：US18216624

申请日：2023-06-30

Applicant: Yahoo Assets LLC

Inventor： Sanika Shirwadkar ,  Nils P. Schimmelmann ,  Jeffrey T. Wilson ,  Chun-Yi Tu

IPC: G06F16/9535 ,  G06F16/906 ,  G06F16/9538

Abstract: One or more systems and/or methods for filtering user profiles based upon sensitive topics are provided. A set of candidate topics labeled with sensitivity labels corresponding to whether candidate topics are sensitive topics or non-sensitive topics are generated. The sensitivity labels are applied to an unknown entity space of entities to label the entities with the sensitivity labels to create a set of labeled topics labeled as either the sensitive topics or the non-sensitive topics. The set of labeled topics and metadata for the set of labeled topics are stored within a central sensitivity data store. The set of labeled topics and metadata within the central sensitivity data store are used to filter sensitive topics from user profiles of users.

公开(公告)号：US20240386064A1

公开(公告)日：2024-11-21

申请号：US18320350

申请日：2023-05-19

Applicant: YAHOO ASSETS LLC

Inventor： Sanika Shirwadkar ,  Kostas Tsioutsiouliklis ,  Nils Schimmelmann

IPC: G06F16/9535

Abstract: The present teaching relates to method, system, medium, and implementations for content serving. A user's profile characterizing the user's long-tail interest with respect to some long-tail topics may be obtained. Each long-tail topic in the user's profile is associated with a long-tail topic score representing a degree of the user's interest in the long-tail topic. Long-tail content in some long-tail topics may be identified for the user and sent to the user. When information about online activities of the user directed to the long-tail content is received, corresponding long-tail topic scores in the user profile associated with the long-tail topics are updated based on the user's online activities.

公开(公告)号：US20230306052A1

公开(公告)日：2023-09-28

申请号：US18317563

申请日：2023-05-15

Applicant: YAHOO ASSETS LLC

Inventor： Sanika Shirwadkar ,  Daozheng Chen ,  Guillaume Le Chenadec ,  Ralph Rabbat ,  Prateeksha Uday Chandraghatgi

IPC: G06F16/36

CPC classification number: G06F16/36

Abstract: The present teaching relates to entity extraction and disambiguation. In one example, an entity name extracted from a data source associated with a user is obtained. One or more entity types associated with the entity name are determined. One or more entity candidates are identified with respect to each of the one or more entity types. An entity candidate is selected with respect to one of the one or more entity types to be an individual associated with the entity name.

公开(公告)号：US11675824B2

公开(公告)日：2023-06-13

申请号：US14874814

申请日：2015-10-05

Applicant: YAHOO ASSETS LLC

Inventor： Sanika Shirwadkar ,  Daozheng Chen ,  Guillaume Le Chenadec ,  Ralph Rabbat ,  Prateeksha Uday Chandraghatgi

IPC: G06F16/36

CPC classification number: G06F16/36

Abstract: The present teaching relates to entity extraction and disambiguation. In one example, an entity name extracted from a data source associated with a user is obtained. One or more entity types associated with the entity name are determined. One or more entity candidates are identified with respect to each of the one or more entity types. An entity candidate is selected with respect to one of the one or more entity types to be an individual associated with the entity name.

公开(公告)号：US20250005382A1

公开(公告)日：2025-01-02

申请号：US18217573

申请日：2023-07-02

Applicant: Yahoo Assets LLC

Inventor： Sanika Shirwadkar ,  Kostas Tsioutsiouliklis

IPC: G06N5/022

Abstract: One or more systems and/or methods for identifying and utilizing semantic information for content items are provided. Data is collected from data sources that provide information about content items. Authority scores are assigned to the data sources based upon authoritativeness of the data sources. The data from the data sources is processed to create candidate collections of semantic information. The authority scores are utilized to select semantic information for the content item from the candidate collections. A semantic-based action is performed using the semantic information.

公开(公告)号：US20240428295A1

公开(公告)日：2024-12-26

申请号：US18340555

申请日：2023-06-23

Applicant: YAHOO ASSETS LLC

Inventor： Sanika Shirwadkar ,  Kostas Tsioutsiouliklis

IPC: G06Q30/0251

Abstract: The present teaching relates to method, system, medium, and implementations for personalized content service. Information related to a user is first obtained with a user profile indicative of multiple interests of the user. User embeddings are computed with respect to some interests of the user based on interest embeddings of such interests to capture semantics of such interests as well as additional interests temporally related to the interests. Personalized content is identified based on the user embeddings and is provided to the user.

公开(公告)号：US20240038271A1

公开(公告)日：2024-02-01

申请号：US17877561

申请日：2022-07-29

Applicant: Yahoo Assets LLC

Inventor： Paloma de Juan ,  Alex J. Shaw ,  Eric M. Dodds ,  Benjamin J. Culpepper ,  Kapil Raj Thadani ,  Lakshmi V. Kesiraju ,  Praveen Mareedu ,  Sanika Shirwadkar ,  Xingyue Zhou ,  Yueh-Ning Ku

IPC: G11B27/031 ,  G10L21/043 ,  G10L21/055 ,  G10L25/57 ,  G06V40/16 ,  G06V20/40 ,  G10L15/26 ,  G06F40/58 ,  G10L13/08 ,  G06V40/50

CPC classification number: G11B27/031 ,  G10L21/043 ,  G10L21/055 ,  G10L25/57 ,  G06V40/161 ,  G06V20/40 ,  G10L15/26 ,  G06F40/58 ,  G10L13/08 ,  G06V40/172 ,  G06V40/50

Abstract: One or more computing devices, systems, and/or methods for generating a video in a target language are provided. In an example, a first video, in which a first speaker speaks in a first language, is identified. A translated transcript in a second language is determined. The translated transcript is indicative of a translation of speech spoken by the first speaker in the first video. Based upon the translated transcript and a speaker profile associated with a second speaker, first audio, including an auditory representation of the translated transcript being spoken in a voice of the second speaker, is generated. Based upon the first video and the first audio, a second video, in which mouth movements of the first speaker are aligned with speech of the auditory representation of the first audio, is generated.