-
公开(公告)号：US20240187366A1
公开(公告)日：2024-06-06
申请号：US18442970
申请日：2024-02-15
IPC分类号： H04L51/216 , H04L51/02 , H04L51/42
CPC分类号： H04L51/216 , H04L51/02 , H04L51/42
摘要： Systems and methods are directed to email threading based on machine learning determined categories and features. A network system accesses a plurality of emails addressed to a user. The network system then classifies, using a machine learning model, each email into at least one of a plurality of categories. For a category of the plurality of categories, one or more feature values are extracted from each email in the category. Based on the category and the extracted feature values, the network system groups messages having a same feature value in the same category together into a single email thread. Information related to the single email thread is then presented at a client device of the user.
-
公开(公告)号：US20190180204A1
公开(公告)日：2019-06-13
申请号：US16275386
申请日：2019-02-14
发明人： Joshua STICKLER , Christopher KEHLER , Dmitriy MEYERZON , Victor POZNANSKI , Ashok KUPPUSAMY , Oleg MELNYCHUK , Charles Reeves LITTLE
CPC分类号： G06Q10/06 , G06F8/34 , G06Q30/02 , G11B27/034
摘要： Aggregation of content based on user-generated topics is provided. Users may associate one or more topics with content items stored across various workloads and repositories. A topic may be a word or phrase of the user's choice, and may be utilized for discoverability of information and aggregation of content items. Topics and content items associated with topics may be acted on (e.g., a user may add or delete topics to associate with a content item, associate or disassociate content items with a topic, embed a set of content items or a stream of content items associated with a topic into other experiences, follow topics, etc.). Content items identified as related to a specific topic may be automatically suggested as possible content items of interest to the user. Additionally, when a user follows a topic, the user may be notified of any changes that occur to the topic.
-
公开(公告)号：US20190243515A1
公开(公告)日：2019-08-08
申请号：US15891347
申请日：2018-02-07
IPC分类号： G06F3/0482 , G06F17/24
CPC分类号： G06F3/0482 , G06F17/218 , G06F17/243 , G06F17/2765
摘要： Described herein is a system and method for invoking a service using a trigger entry. During editing of a document, a trigger entry that is based upon content added to the document is received. Responsive to receipt of the trigger entry, information regarding one or more services (e.g., local and/or remote) is provided with selection of a service received from a user. The selected service is then invoked with information from the selected service provided to the user and/or information received from the user provided to the selected service (e.g., in real-time).
-
4.发明申请公开(公告)号：US20190220537A1
公开(公告)日：2019-07-18
申请号：US15871902
申请日：2018-01-15
IPC分类号： G06F17/30
CPC分类号： G06F16/24575 , G06F16/24578 , G06F16/248 , G06F16/284 , G06F16/953 , G06F16/9535
摘要： Context from a content creation application is used to focus both on the types of files and the types of content searched by a search application, as well as the type of results provided to the content creation application for use by the user, instead of simply improving relevancy of a result. A query of structured, contextual information can be formulated based on the discernable intent and context information provided with the request. Queries are sent to search applications to search appropriate file types and/or content types. Context-sensitive results returned from the search application(s) can be grouped by performing a clustering process according to semantic similarity in order to group the context-sensitive results into groups, and selected ones of the context-sensitive results can be provided to a user.
-
公开(公告)号：US20230412549A1
公开(公告)日：2023-12-21
申请号：US17845806
申请日：2022-06-21
IPC分类号： H04L51/216 , H04L51/42 , H04L51/02
CPC分类号： H04L51/216 , H04L51/42 , H04L51/02
摘要： Systems and methods are directed to email threading based on machine learning determined categories and features. A network system accesses a plurality of emails addressed to a user. The network system then classifies, using a machine learning model, each email into at least one of a plurality of categories. For a category of the plurality of categories, one or more feature values are extracted from each email in the category. Based on the category and the extracted feature values, the network system groups messages having a same feature value in the same category together into a single email thread. Information related to the single email thread is then presented at a client device of the user.
-
公开(公告)号：US20230028381A1
公开(公告)日：2023-01-26
申请号：US17381110
申请日：2021-07-20
发明人： Dmitriy MEYERZON , Victor POZNANSKI , Nikita VORONKOV , Ryen W. WHITE , Eric GRADEL , Mark J. ENCARNACIÓN , Kerem YUCETURK , Michael GAMON , Nirupama CHANDRASEKARAN , Silviu-Petru CUCERZAN , Keith Richard CHAMBERS , John William BACUS , Aaron Lee HALFAKER , James S. WOFFINDEN-LUEY , Youngji KIM
IPC分类号： G06N5/02 , G06N5/04 , G06F40/30 , G06F16/332
摘要： Systems and methods for facilitating an enterprise user to obtain an answer to a user question within an enterprise based on an enterprise knowledge graph are provided. In particular, an enterprise server may receive the user question from the enterprise user, determine a suggested topic associated with the user question based on the enterprise knowledge graph by transforming the user question into a semantic representation to identify a plurality of similar entities within the enterprise knowledge graph, and determine whether a relevant question-and-answer (Q&A) pair linked to the suggested topic exists based on the enterprise knowledge graph. In response to a determination that the relevant Q&A pair does not exist, the enterprise server may determine a predicted answer to the user question and update the enterprise knowledge graph.
-
公开(公告)号：US20210056472A1
公开(公告)日：2021-02-25
申请号：US16895056
申请日：2020-06-08
发明人： Joshua STICKLER , Christopher KEHLER , Dmitriy MEYERZON , Victor POZNANSKI , Ashok KUPPUSAMY , Oleg MELNYCHUK , Charles Reeves LITTLE
摘要： Aggregation of content based on user-generated topics is provided. Users may associate one or more topics with content items stored across various workloads and repositories. A topic may be a word or phrase of the user's choice, and may be utilized for discoverability of information and aggregation of content items. Topics and content items associated with topics may be acted on (e.g., a user may add or delete topics to associate with a content item, associate or disassociate content items with a topic, embed a set of content items or a stream of content items associated with a topic into other experiences, follow topics, etc.). Content items identified as related to a specific topic may be automatically suggested as possible content items of interest to the user. Additionally, when a user follows a topic, the user may be notified of any changes that occur to the topic.
-
-
-
-
-
-
搜索结果
7 条记录 (耗时 0.017 秒)
