公开(公告)号：US10268667B1

公开(公告)日：2019-04-23

申请号：US14803175

申请日：2015-07-20

Applicant: Evernote Corporation

Inventor： Alex Pachikov ,  Phil Libin ,  Zeesha Currimbhoy

IPC: G06F17/20 ,  G06F17/24 ,  G06F17/30 ,  G06F3/0482 ,  G06F3/0484

Abstract: Modifying a document being entered by a user by adding data from at least one of a plurality of news items relevant to the document includes determining other documents in a collection of documents that are relevant to the document being entered by the user, constructing a filter based on content of the document being entered by the user and on the other documents, presenting on a display the plurality of news items selected from a plurality of news feeds according to the filter, the user selecting from the display at least one of the news items, and the user inserting data from the at least one of the news items into the document. The document may be a note and the collection of documents may be a notebook. The note and the notebook may be provided by the OneNote product from Microsoft Corporation and/or by the Evernote product.

公开(公告)号：US20210004529A1

公开(公告)日：2021-01-07

申请号：US17030231

申请日：2020-09-23

Applicant: EVERNOTE CORPORATION

Inventor： Alex Pachikov ,  Phil Libin ,  Zeesha Currimbhoy

IPC: G06F40/166 ,  G06F3/0482 ,  G06F3/0484 ,  G06F16/93 ,  G06F16/2457

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.

公开(公告)号：US10824796B2

公开(公告)日：2020-11-03

申请号：US16387367

申请日：2019-04-17

Applicant: EVERNOTE CORPORATION

Inventor： Alex Pachikov ,  Phil Libin ,  Zeesha Currimbhoy

IPC: G06F17/20 ,  G06F40/166 ,  G06F3/0482 ,  G06F3/0484 ,  G06F16/93 ,  G06F16/2457

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.

公开(公告)号：US10185748B1

公开(公告)日：2019-01-22

申请号：US14446474

申请日：2014-07-30

Applicant: Evernote Corporation

Inventor： Mark Ayzenshtat ,  Zeesha Currimbhoy ,  Adam Walz

IPC: G06F17/30

Abstract: Providing incremental search suggestions as a user enters terms in a search query includes determining if a recently entered term is in a context-free dictionary of natural language phrases, generating natural language query search completion candidates corresponding to terms provided by the user in the search query if the recently entered term is in the context free dictionary, determining if the recently entered term contains a keyword hint if the recently entered term is not in the context free dictionary, generating keyword search completion candidates if the recently entered term is at least part of a keyword hint, scoring the candidates from a current iteration and any previous iterations from previously entered terms to provide a set of possible candidates, and ordering the possible candidates based on at least the scoring. Providing incremental search suggestions may also include building compound search queries that include natural language phrases and keywords.

公开(公告)号：US09075898B1

公开(公告)日：2015-07-07

申请号：US13924905

申请日：2013-06-24

Applicant: Evernote Corporation

Inventor： Mark Ayzenshtat ,  Zeesha Currimbhoy

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/3097 ,  G06F17/3064

Abstract: Providing incremental search suggestions from a content database include accessing the content database to determine possible candidates for the search suggestions, scoring each of the candidates based at least partially on a non-monotonic document frequency function, where candidates that appear a first amount corresponding to a relatively frequent occurrence in the content database and candidates that appear a second amount corresponding to a relatively infrequent occurrence in the content database both score lower than candidates that appear in the content database with a frequency that is between the first amount and the second amount, and ordering the possible candidates based on at least the scoring. Possible candidates may include named entities and n-grams. The n-grams may only be unigrams and bigrams. Stop words may be filtered out of the n-grams. Scoring may include taking into account term frequency.

Abstract translation: 从内容数据库提供增量搜索建议包括访问内容数据库以确定搜索建议的可能候选，至少部分地基于非单调文档频率函数对每个候选进行评分，其中出现对应于 在内容数据库中相对频繁地出现，并且出现与内容数据库中相对不频繁发生相对应的第二数量的候选者的得分低于出现在内容数据库中的频率处于第一数量和第二数量之间的频率，并且 至少根据得分排序可能的候选人。 可能的候选人可能包括命名实体和n-gram。 n克可能只是unigrams和bigrams。 停止词可能会从n克中过滤掉。 评分可能包括考虑到术语频率。

公开(公告)号：US20140304249A1

公开(公告)日：2014-10-09

申请号：US14190304

申请日：2014-02-26

Applicant: Evernote Corporation

Inventor： Mark Ayzenshtat ,  Zeesha Currimbhoy

IPC: G06F17/30

CPC classification number: G06F16/24578 ,  G06F16/9535

Abstract: Determining experts based on a search query of a user includes identifying items in a content collection that correspond to the search query, determining authors of the items, and ranking the authors according to relevance to the search query for each of the items for each of the authors. Determining experts based on a search query of a user may also include complementing the query with additional public search results prior to identifying the items. Complementing the query may include using an external data source to search based on the query. The external data source may be selected from the group consisting of Google Search, Yahoo Search, and Microsoft Bing. Determining experts based on a search query of a user may also include presenting the authors to the user in order of ranking The query may be a natural language query.

Abstract translation: 基于用户的搜索查询确定专家包括识别与搜索查询相对应的内容集合中的项目，确定项目的作者，并且根据与针对每个项目的每个项目的搜索查询的相关性对作者进行排名 作者。 基于用户的搜索查询来确定专家还可以包括在识别项目之前将查询与附加的公共搜索结果进行补充。 补充查询可能包括使用外部数据源根据查询进行搜索。 外部数据源可以从由Google搜索，Yahoo搜索和Microsoft Bing组成的组中选择。 基于用户的搜索查询来确定专家还可以包括按照排序顺序将作者呈现给用户。查询可以是自然语言查询。

公开(公告)号：US11657212B2

公开(公告)日：2023-05-23

申请号：US17030231

申请日：2020-09-23

Applicant: EVERNOTE CORPORATION

Inventor： Alex Pachikov ,  Phil Libin ,  Zeesha Currimbhoy

IPC: G06F40/166 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/93 ,  G06F16/2457

CPC classification number: G06F40/166 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/24578 ,  G06F16/93

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.

公开(公告)号：US20190243885A1

公开(公告)日：2019-08-08

申请号：US16387367

申请日：2019-04-17

Applicant: EVERNOTE CORPORATION

Inventor： Alex Pachikov ,  Phil Libin ,  Zeesha Currimbhoy

IPC: G06F17/24 ,  G06F16/2457 ,  G06F3/0482 ,  G06F3/0484 ,  G06F16/93

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.