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公开(公告)号：US09948699B1
公开(公告)日：2018-04-17
申请号：US14751987
申请日：2015-06-26
Applicant: Google Inc.
Inventor： Benjamin Tauber , Sachin Jain , Boris Mazniker , Shimrit Ben-Yair , Simon Tong
CPC classification number: H04L67/10 , G06F17/30 , G06F17/30867 , G06Q50/01 , H04L67/02
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for identifying a set of items of digital content displayed to a user; processing the set of items to identify a set of boost items, items within the set of boost items to be prominently displayed, processing comprising: receiving a close-ties score associated with a respective item, the close-ties score representing a relationship between the user and other users associated with the respective item and an importance of a social circle associated with the item to the user, determining that the close-ties score associated with the respective item exceeds a threshold close-ties score, and in response to determining that the close-ties score exceeds the threshold close-ties score, adding the respective item to the set of boost items; providing instructions for boosting a display of items in the set of boost items in a page displayed to the user.
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公开(公告)号：US20160012112A1
公开(公告)日：2016-01-14
申请号：US14862399
申请日：2015-09-23
Applicant: Google Inc.
Inventor： John Piscitello , Xuefu Wang , Simon Tong , Breen Hagan
IPC: G06F17/30
CPC classification number: G06F17/30887 , G06F17/30011 , G06F17/30528 , G06F17/30554 , G06F17/30657 , G06F17/3066 , G06F17/30864 , G06F17/30867 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936
Abstract: Methods and systems allow users to enter natural language terms that describe a particular web site into an address field of a browser instead of a formal URL. The terms are evaluated to determine whether they correspond, with a high likelihood, to a particular web site. If so, this web site may be immediately accessed. If not, a list of search results based on the terms may be displayed by the browser.
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公开(公告)号：US08914358B1
公开(公告)日：2014-12-16
申请号：US13973304
申请日：2013-08-22
Applicant: Google Inc.
Inventor： Mark Pearson , Simon Tong
CPC classification number: G06F17/3053 , G06F17/30675 , G06F17/30864 , H04L67/42
Abstract: Methods and systems for improved searching are described. In one of the described methods, a user enters a search query, and in response, a search engine receives a substantially complete initial search result set having a plurality of ranked article identifiers. The search engine automatically selects at least one of the article identifiers and provides a final result set in which the selected article identifier is ranked higher than in the initial search result set.
Abstract translation: 描述了用于改进搜索的方法和系统。 在所描述的方法之一中，用户输入搜索查询，并且作为响应，搜索引擎接收具有多个排名的文章标识符的基本上完整的初始搜索结果集。 搜索引擎自动选择文章标识符中的至少一个，并提供其中所选择的文章标识符的排名高于初始搜索结果集中的最终结果集。
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公开(公告)号：US09703837B1
公开(公告)日：2017-07-11
申请号：US14040424
申请日：2013-09-27
Applicant: Google Inc.
Inventor： Junbin Teng , Simon Tong , Boris Mazniker
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06Q30/0202 , G06Q50/01
Abstract: The subject matter of this specification can be implemented in, among other things, a computer-implemented method including determining an affinity score representing an affinity of a user with respect to a contact of the user, wherein the affinity score is an indication of a strength of a relationship between the user and the contact, determining an engagement score of the user with respect to the contact, wherein the engagement score in an indication of a probability of the user engaging with a content item associated with the contact, determining an interest score of the user with respect to the contact based on the affinity score and the engagement score and providing a plurality of content items posted by the contact display in an activity stream, the content items being ordered based on the interest score. Other aspects can include corresponding systems, apparatus and computer program products.
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公开(公告)号：US08972394B1
公开(公告)日：2015-03-03
申请号：US13898363
申请日：2013-05-20
Applicant: Google Inc.
Inventor： Simon Tong , Benjamin N. Lee , Eric E. Altendorf
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/3071
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying one or more second documents related to one or more first documents. Strength of relationship scores between candidate documents in a group of candidate documents and each first document are determined by aggregating user selection data for users, the user selection data indicating, for each user, whether the user viewed the candidate document during a window of time after the first document is presented to the user on a search results web page in response to a query. An aggregate strength of relationship score is calculated for each candidate document from the strength of relationship scores for the candidate document. Second documents are selected from the candidate documents according to the aggregate strength of relationship scores for the candidate documents.
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Patent Agency Ranking
公开(公告)号：US09639579B2
公开(公告)日：2017-05-02
申请号：US14809811
申请日：2015-07-27
Applicant: Google Inc.
Inventor： Michael Angelo , David Braginsky , Jeremy Ginsberg , Simon Tong
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30864 , G06F17/30867 , Y10S707/99933 , Y10S707/99942
Abstract: A system receives a search query from a user and searches a group of repositories, based on the search query, to identify, for each of the repositories, a set of search results. The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repository.
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公开(公告)号：US09235627B1
公开(公告)日：2016-01-12
申请号：US14143622
申请日：2013-12-30
Applicant: Google Inc.
Inventor： Hyung-Jin Kim , Simon Tong , Noam M. Shazeer , Michelangelo Diligenti
CPC classification number: G06F17/3053 , G06F17/30696 , G06F17/30864 , G06F17/30867 , G06Q30/02
Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.
Abstract translation: 本公开包括与搜索查询的搜索结果排序相关的系统和技术。 通常，本说明书中描述的主题可以体现在计算机实现的方法中，该方法包括确定在返回文档结果的搜索查询的上下文中的文档结果的相关性度量，该确定基于 相对于第二数字的第一数字，对应于文档结果的较长视图的第一数字，以及对应于文档结果的至少较短视图的第二数字; 并且对于与搜索查询相对应的新搜索，输出与包括文档结果在内的搜索结果排序相关的排名引擎的度量。 本说明书中描述的主题也可以体现在各种相应的计算机程序产品，装置和系统中。
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公开(公告)号：US09218397B1
公开(公告)日：2015-12-22
申请号：US14555019
申请日：2014-11-26
Applicant: Google Inc.
Inventor： Mark Pearson , Simon Tong
CPC classification number: G06F17/3053 , G06F17/30675 , G06F17/30864 , H04L67/42
Abstract: Methods and systems for improved searching are described. In one of the described methods, a user enters a search query, and in response, a search engine receives a substantially complete initial search result set having a plurality of ranked article identifiers. The search engine automatically selects at least one of the article identifiers and provides a final result set in which the selected article identifier is ranked higher than in the initial search result set.
Abstract translation: 描述了用于改进搜索的方法和系统。 在所描述的方法之一中，用户输入搜索查询，并且作为响应，搜索引擎接收具有多个排名的文章标识符的基本上完整的初始搜索结果集。 搜索引擎自动选择文章标识符中的至少一个，并提供其中所选择的文章标识符的排名高于初始搜索结果集中的最终结果集。
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9.发明授权Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems 有权在基于关键字的检索系统中找到有意义的词汇或停止词组公开(公告)号：US08626787B1
公开(公告)日：2014-01-07
申请号：US13922968
申请日：2013-06-20
Applicant: Google Inc.
Inventor： Simon Tong , Uri Lerner , Amit Singhal , Paul Haahr , Steven Baker
CPC classification number: G06F17/30967 , G06F7/24 , G06F17/21 , G06F17/30666 , G06F17/30979 , Y10S707/99933 , Y10S707/99943
Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.
Abstract translation: 停止词检测组件在输入到基于关键字的信息检索系统的搜索查询中检测到停止词（也称为停止词）。 最初通过将搜索查询中的术语与已知无效词列表进行比较来识别潜在的禁忌词。 然后基于搜索查询和所识别的无效词来检索上下文数据。 在一个实现中，上下文数据包括从文档索引检索的文档。 在另一实现中，上下文数据包括与搜索查询相关的类别。 将检索到的上下文数据的集合彼此进行比较，以确定它们是否基本相似。 如果上下文数据集合基本相似，则可以使用该事实来推断潜在的停止词的移除对搜索不重要。 如果上下文数据集基本上不相似，潜在的停用词可以被认为是搜索的重要内容，不应该从查询中移除。
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公开(公告)号：US09817920B1
公开(公告)日：2017-11-14
申请号：US14628692
申请日：2015-02-23
Applicant: GOOGLE INC.
Inventor： Simon Tong , Uri Lerner , Amit Singhal , Paul Haahr , Steven Baker
CPC classification number: G06F17/30967 , G06F7/24 , G06F17/21 , G06F17/30666 , G06F17/30979 , Y10S707/99933 , Y10S707/99943
Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.
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