-
公开(公告)号：US20180253485A1
公开(公告)日：2018-09-06
申请号：US15446913
申请日：2017-03-01
Applicant: Yahoo! Inc.
Inventor： Aasish Pappu , Troy Chevalier , Xue Wu
Abstract: A method implemented by at least one server computer is provided, including: providing, over the Internet, access to a plurality of topics, wherein each topic includes, and further provides access to, a plurality of posted items; recording interaction data for the plurality of topics, the interaction data identifying user activity occurring within each of the topics; analyzing the interaction data to identify clusters of topics that exhibit similar behavioral patterns; for each cluster of topics, generating a community that includes the topics in the cluster; providing, over the Internet, access to the communities, wherein accessing a given community further provides access to the topics included in that community, which further provide access to the posted items that are included in the topics within that community.
-
公开(公告)号：US20170255862A1
公开(公告)日：2017-09-07
申请号：US15057487
申请日：2016-03-01
Applicant: Yahoo! Inc.
Inventor： Xiang Li , Sungjin Lee , Aasish Pappu , Yifan Hu , Amanda Stent
CPC classification number: G06N5/022 , G06F16/9035 , G06N20/00 , G06Q10/04 , G06Q30/0631 , H04L67/10 , H04L67/306
Abstract: The present teaching relates to generating user profiles with semantic knowledge. A first information associated with a user is obtained. One or more entities are identified from the first information. The one or more entities are augmented based on second information to generate a set of augmented entities. The set of augmented entities are clustered into a set of hierarchical clusters. A set of user profiles is generated based on the set of hierarchical clusters so that the user profile is to be used to personalize content recommendation.
-
3.发明申请公开(公告)号：US20170147575A1
公开(公告)日：2017-05-25
申请号：US14948213
申请日：2015-11-20
Applicant: Yahoo! Inc.
Inventor： Aasish Pappu , Amanda Stent
IPC: G06F17/30 , G06F3/0482 , G06F3/0484
Abstract: Software for a website hosting short-text services creates an index of buckets for locality sensitive hashing (LSH). The software stores the index in an in-memory database of key-value pairs. The software creates, on a mobile device, a cache backed by the in-memory database. The software then uses a short text to create a query embedding. The software map the query embedding to corresponding buckets in the index and determines which of the corresponding buckets are nearest neighbors to the query embedding using a similarity measure. The software displays location types associated with each of the buckets that are nearest neighbors in a view in a graphical user interface (GUI) on the mobile device and receives a user selection as to one of the location types. Then the software displays the entities for the selected location type in a GUI view on the mobile device.
-
公开(公告)号：US11907858B2
公开(公告)日：2024-02-20
申请号：US15425978
申请日：2017-02-06
Applicant: Yahoo!, Inc.
Inventor： Aasish Pappu , Roi Blanco , Yashar Mehdad , Amanda Stent , Kapil Thadani
Abstract: One or more computing devices, systems, and/or methods for entity disambiguation are provided. For example, a document may be analyzed to identify a first mention and a second mention. One or more techniques may be used to select and link a candidate entity, from a first set of candidate entities, to the first mention and select and link a candidate entity, from a second set of candidate entities, to the second mention.
-
公开(公告)号：US20180225576A1
公开(公告)日：2018-08-09
申请号：US15425978
申请日：2017-02-06
Applicant: Yahoo!, Inc.
Inventor： Aasish Pappu , Roi Blanco , Yashar Mehdad , Amanda Stent , Kapil Thadani
Abstract: One or more computing devices, systems, and/or methods for entity disambiguation are provided. For example, a document may be analyzed to identify a first mention and a second mention. One or more techniques may be used to select and link a candidate entity, from a first set of candidate entities, to the first mention and select and link a candidate entity, from a second set of candidate entities, to the second mention.
-
Patent Agency Ranking
公开(公告)号：US20180203846A1
公开(公告)日：2018-07-19
申请号：US15406565
申请日：2017-01-13
Applicant: Yahoo! Inc.
Inventor： Courtney Napoles Cohen , Aasish Pappu , Joel Tetreault
CPC classification number: G06N3/08 , G06F17/241 , G06F17/279 , G06N3/0445 , G06N7/005 , H04L67/02 , H04L67/10 , H04L67/2833
Abstract: Software on a website hosting an online forum extracts a plurality of sub-dialogues from each thread in a corpus from the online forum. The software obtains one or more sub-dialogue annotations associated with each sub-dialogue. The sub-dialogue annotations include an annotation as to whether the sub-dialogue is constructive. The software extracts a plurality of features from each sub-dialogue uses them and the sub-dialogue annotations associated with the sub-dialogue to train a classifier that determines whether a particular sub-dialogue is constructive. Then the software obtains a new sub-dialogue from a thread currently displayed in the online forum and extracts the plurality of features from the new sub-dialogue. The software inputs the features extracted from the new sub-dialogue into the classifier and obtains a determination as to whether the new sub-dialogue is constructive.
-
公开(公告)号：US20170257329A1
公开(公告)日：2017-09-07
申请号：US15059596
申请日：2016-03-03
Applicant: YAHOO! INC.
Inventor： Joel Tetreault , Aasish Pappu , Edo Liberty , Liangliang Cao , Meizhu Liu , Ellie Pavlick , Gilad Tsur , Yoelle Maarek
CPC classification number: H04L51/046 , G06F17/241 , G06F17/273 , G06F17/274 , G06F17/2755 , G06F17/2765 , G06F17/2785 , H04L51/02 , H04L67/02
Abstract: Disclosure includes an electronic message composition support system, method and architecture. Techniques including machine learning and natural language processing techniques are used to extend message composition capability and support and to provide feedback to a user regarding an error, condition, etc. detected in the user's message before the user sends the message, e.g., while the user is composing the message using a messaging application's user interface.
-
8.发明授权公开(公告)号：US10521413B2
公开(公告)日：2019-12-31
申请号：US14948213
申请日：2015-11-20
Applicant: Yahoo! Inc.
Inventor： Aasish Pappu , Amanda Stent
IPC: G06F16/29 , G06F16/22 , G06F3/0482 , G06F16/248 , G06F16/9537
Abstract: Software for a website hosting short-text services creates an index of buckets for locality sensitive hashing (LSH). The software stores the index in an in-memory database of key-value pairs. The software creates, on a mobile device, a cache backed by the in-memory database. The software then uses a short text to create a query embedding. The software map the query embedding to corresponding buckets in the index and determines which of the corresponding buckets are nearest neighbors to the query embedding using a similarity measure. The software displays location types associated with each of the buckets that are nearest neighbors in a view in a graphical user interface (GUI) on the mobile device and receives a user selection as to one of the location types. Then the software displays the entities for the selected location type in a GUI view on the mobile device.
-
公开(公告)号：US20180285459A1
公开(公告)日：2018-10-04
申请号：US15471455
申请日：2017-03-28
Applicant: Yahoo! Inc.
Inventor： Akshay Soni , Yashar Mehdad , Aasish Pappu , Vivek Kulkarni , Sheng Chen
Abstract: A method implemented by at least one server computer is provided, including the following operations: receiving a plurality of training documents, each training document being defined by a sequence of words, each training document having one or more labels associated therewith; embedding the training documents, the words, and the labels in a vector space, wherein the embedding is configured to locate a given training document and its associated labels in proximity to each other in the vector space; embedding a new document in the vector space; performing a proximity search in the vector space to identify a set of nearest labels to the new document in the vector space; associating the nearest labels to the new document.
-
公开(公告)号：US20180203843A1
公开(公告)日：2018-07-19
申请号：US15406586
申请日：2017-01-13
Applicant: Yahoo! Inc.
Inventor： Yashar Mehdad , Aasish Pappu , Amanda Stent
Abstract: Software on a website serves a user of an online content aggregation service a first article that the user views. The software extracts named entities from the first article using a named-entity recognizer. The named-entity recognizer uses a sequence of word embeddings as inputs to a conditional random field (CRF) tool to assign labels to each of the word embeddings. Each of the word embeddings is associated with a word in the first article and is trained using an entire topical article from a corpus of topical articles as a context for the word. The software then creates rankings for articles ingested by the content aggregation service based at least in part on the named entities and serves the user a second article using the rankings.
-
-
-
-
-
-
-
-
-
Search Results
11
records
(took 0.018 seconds)
