公开(公告)号：US20170098283A1

公开(公告)日：2017-04-06

申请号：US14875186

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Suju Rajan ,  Liangjie Hong ,  Nathan Liu ,  Scott Gaffney

IPC: G06Q50/00 ,  H04L12/58 ,  G06F17/30

CPC classification number: G06Q50/01 ,  G06F16/951 ,  H04L51/32

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include receiving a request for content from a person; obtaining first content from a first source private to the person based on the request; obtaining second content from at least one second source based on the request; blending the first content from the first source and the second content from the at least one second source to generate a blended content; and providing the blended content to the person in response to the request.

公开(公告)号：US20170098261A1

公开(公告)日：2017-04-06

申请号：US14874528

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Prateeksha Uday Chandraghatgi ,  Conrad Wai ,  Scott Gaffney

IPC: G06Q30/06

CPC classification number: G06Q30/0611

Abstract: The present teaching relates to online task exchange. In one example, information related to a task automatically created based on an intent of a person is received. The task is posted to a plurality of parties that are capable of completing the task. One or more bids are received from at least some of the plurality of parties. At least one winning bid is selected from the one or more bids based on at least one criterion. Information indicative of a status as to completion of the task is received. Resource is allocated to the at least one winning bid based on the status.

公开(公告)号：US20170098168A1

公开(公告)日：2017-04-06

申请号：US14874852

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Zornitsa Kozareva ,  Scott Gaffney

IPC: G06N7/02 ,  G06N99/00

CPC classification number: G06N5/04

Abstract: A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for providing synthetic answers to a personal question is disclosed. A personal question is received from a person. One or more entities are extracted from the personal question. One or more relations are extracted from the personal question. A model is selected based on the personal question. One or more synthetic answers to the personal question are obtained based on the one or more entities, the one or more relations, and the selected model.

公开(公告)号：US20170098101A1

公开(公告)日：2017-04-06

申请号：US15289396

申请日：2016-10-10

Applicant: YAHOO! INC.

Inventor： Varun BHAGWAN ,  Patrick MASON ,  Ashutosh SINGH ,  Jaikit SAVLA ,  Rahul TEOTIA ,  Ramachandran Natarajan IYER

IPC: G06F21/62 ,  G06Q30/02 ,  H04L29/08

CPC classification number: G06F21/6263 ,  G06F21/6245 ,  G06Q30/0257 ,  H04L67/02 ,  H04L67/306

Abstract: Disclosed herein is a system to validate information about a user, or users, derived from publicly-accessible data. The system comprises a validation system that uses private data about the user to validate the user information derived from the publicly-accessible data. The validation system may receive a validation request in connection with an inconclusive result derived from the publicly-accessible data.

公开(公告)号：US20170098000A1

公开(公告)日：2017-04-06

申请号：US14874547

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Jonathan Paris ,  Reiner Kraft

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: The present teaching relates to searching. In one example, a search query is received from a person. A plurality of search results are retrieved based on the search query. An intent of the person is estimated with respect to at least some of the plurality of search results. The estimated intent is what the person intends to do with respect to the at least some of the plurality of search results. The plurality of search results are provided based on the estimated intent of the person.

公开(公告)号：US20170097984A1

公开(公告)日：2017-04-06

申请号：US14874768

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Amlan Haldar

IPC: G06F17/30

CPC classification number: G06F16/288

Abstract: The present teaching relates to generating a knowledge representation. In one example, a plurality of entities is obtained from a data source associated with a user. One or more relationships are determined among the plurality of entities. At least one of the one or more relationships is inferred based on personal information of the user. A knowledge representation associated with the user is generated based on the plurality of entities and the one or more relationships among the plurality of entities.

公开(公告)号：US20170091333A1

公开(公告)日：2017-03-30

申请号：US14867695

申请日：2015-09-28

Applicant: Yahoo!, Inc.

Inventor： Jonathan Paris ,  Leili Baghaei Rad ,  Benoit Schillings ,  Yuhuan Tang

IPC: G06F17/30 ,  G06F17/24 ,  G06F3/0484 ,  G06F3/0482 ,  G06F3/0488 ,  G09G3/00

CPC classification number: G06F17/30867 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04883 ,  G06F2203/04803 ,  G06F2203/04808

Abstract: One or more systems and/or methods for providing related content associated with a multi-touch gesture to a user are provided. A multi-touch gesture (e.g., a pinch-in gesture, a pinch-out gesture, etc.) may be received through a user interface of a client device (e.g., smartphone, tablet, television, virtual wall, etc.) associated with a user. The multi-touch gesture may be evaluated to identify an area of interest of the user interface (e.g., a portion of user interface containing content of interest to the user). The area of interest may be evaluated to identify context (e.g., keywords, phrases, associated content, etc.) associated with the area of interest. A search of content may be performed based upon the context to identify related content (e.g., news articles, wide-area network search results, local device search results, etc.) associated with the context. The related content may be provided to the user through the client device.

公开(公告)号：US20170091203A1

公开(公告)日：2017-03-30

申请号：US14868154

申请日：2015-09-28

Applicant: Yahoo! Inc.

Inventor： Yuening Hu ,  Changsung Kang ,  Dawei Yin ,  Yi Chang

IPC: G06F17/30

CPC classification number: G06F16/9537

Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

公开(公告)号：US20170091202A1

公开(公告)日：2017-03-30

申请号：US14866382

申请日：2015-09-25

Applicant: Yahoo! Inc.

Inventor： Paul Yiu ,  Naroo Krishnan ,  Suju Rajan

IPC: G06F17/30

Abstract: Techniques are described by which information needs are satisfied by taking into account a variety of contextual cues that constrain the information searched. Contextual data such as the location, speed, and direction of travel of a mobile device are used to generate or modify a search query in a way that constrains the geographic region being searched to improve the relevance of search results or recommendations provided.

公开(公告)号：US20170091198A1

公开(公告)日：2017-03-30

申请号：US14869435

申请日：2015-09-29

Applicant: YAHOO! INC.

Inventor： Lizi Zhang ,  Hongbo Deng ,  Amit Goyal ,  Yi Chang ,  Ricardo Baeza-Yates

IPC: G06F17/30 ,  G06Q30/02

CPC classification number: G06F17/3064 ,  G06F17/30654 ,  G06F17/30696 ,  G06Q30/0256

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for determining and suggesting query auto-completions (QACs). In some embodiments, when a user is inputting a search query, the disclosed systems and methods can provide a QAC suggestion based on the inputted text in addition to application programs installed and/or executing on the user's device.