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公开(公告)号:WO2017151398A1
公开(公告)日:2017-09-08
申请号:PCT/US2017/019223
申请日:2017-02-24
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: KANDYLAS, Vasileios , TREMBLAY, Serge-Eric , ALONSO, Omar
Abstract: Aspects of the technology described herein generate a comment-summary interface that can help a user find comments of interest to the user. The comment-summary interface allows a user to access comments according to topics instead of scrolling through all of the comments found in a comment section associated with a primary content, such as a news article on a website, a social post, product review, and such. Categorizing the comments into topics makes more efficient use of computer resources by avoiding the need to display comments that are not of interest to the user. The plurality of comments analyzed by aspects of the technology described herein are unstructured comments. Unstructured comments lack specific subject matter categories designated by a user or preselected by a webpage.
Abstract translation: 这里描述的技术的各方面生成评论概要界面,其可以帮助用户找到对用户感兴趣的评论。 评论摘要界面允许用户根据主题访问评论,而不是滚动浏览与主要内容相关联的评论部分中发现的所有评论,诸如网站上的新闻文章,社交帖子,产品评论和 这样。 将评论分类为主题可避免显示用户不感兴趣的评论,从而更有效地利用计算机资源。 由此处描述的技术的方面分析的多个评论是非结构化评论。 非结构化评论缺少由用户指定或由网页预选的特定主题类别。 p>
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公开(公告)号:WO2016210208A1
公开(公告)日:2016-12-29
申请号:PCT/US2016/039137
申请日:2016-06-24
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: ALONSO, Omar , TREMBLAY, Serge-Eric , KANDYLAS, Vasileios
IPC: G06Q10/00
CPC classification number: G06Q30/0204 , G06F17/30064 , G06F17/30867 , G06Q10/00 , G06Q50/01
Abstract: Systems and methods for generating a social sketch from social communications are provided. Unlike a typical summary of a subject (or of multiple subjects), a social sketch represents a "snapshot" summary of the social communications of people during a given period of time. The social sketch is generated by obtaining a corpus of social communications and filtering the social communications according to time. The filtered results are clustered according to the subject matter/topics of the social communications. Selected clusters are identified and the topic, representative high quality social communications from non-experts and experts are extracted from each of the selected clusters and saved as a social sketch corresponding to the time period.
Abstract translation: 提供了从社会交往中产生社会素描的系统和方法。 与主题(或多个主题)的典型摘要不同,社会素描是给定时间段内人们社交交流的“快照”摘要。 社会素描是通过获取社会交往语料库,按时间过滤社交信息而产生的。 过滤的结果根据社会交往的主题/主题进行聚类。 确定了选定的群集,并从每个选定的群集中提取了来自非专家和专家的代表性高质量的社会交流,并将其保存为对应于该时间段的社会草图。
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公开(公告)号:WO2019241034A1
公开(公告)日:2019-12-19
申请号:PCT/US2019/035907
申请日:2019-06-07
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: ALONSO, Omar Rogelio , KANDYLAS, Vasileios , TREMBLAY, Serge-Eric
IPC: G06F16/9032 , G06F16/332
Abstract: Examples are disclosed that relate to grouping query clusters based on intent of a search query. One example provides a method for generating recommended queries related to a search query, the method performed by a system including a logic subsystem, and memory holding instructions executable by the logic subsystem to receive the search query, execute the search query on an index of pre-computed query clusters to identify a baseline query cluster and one or more neighboring query clusters, form a data structure including queries from within the baseline query cluster and the one or more neighboring query clusters, traverse the data structure to form a hierarchical arrangement of queries, and send the hierarchical arrangement of queries to a computing device from which the search query was received.
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公开(公告)号:WO2018204075A1
公开(公告)日:2018-11-08
申请号:PCT/US2018/028225
申请日:2018-04-19
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: ALONSO, Omar, Rogelio , TREMBLAY, Serge-Eric , KANDYLAS, Vasileios
IPC: G06F17/30
CPC classification number: G06F16/23 , G06F16/24578 , G06F16/248 , G06F16/26 , G06F16/9024 , G06F16/9535 , G06N3/006 , G06N5/022
Abstract: Surfacing relevant socially trending informational items in response to an exploratory query is provided. A temporally relevant social data search system includes an intelligent assistant, a knowledgebase generation system, and a temporal graph knowledgebase. The knowledgebase generation system builds the temporal graph knowledgebase from entities and relationships detected in social data mined from a plurality of social networking data sources. Responsive to receiving an exploratory query associated with one or more entities, the intelligent assistant queries the temporal graph knowledgebase for information items related to the one or more entities, selects a relevant information item to include in a response, and provides the response to the user.
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公开(公告)号:WO2019099310A1
公开(公告)日:2019-05-23
申请号:PCT/US2018/060199
申请日:2018-11-09
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: ALONSO, Omar Rogelio , KANDYLAS, Vasileios , IYER, Rukmini
IPC: G06N5/02
CPC classification number: G06F16/9024 , G06F16/2425 , G06F16/284 , G06F16/951 , G06N5/022 , G06Q10/04
Abstract: A technique is described for generating a knowledge graph that links names associated with a first subject matter category (C1) (such as brands) with names associated with a second subject matter category (C2) (such as products). In one implementation, the technique relies on two similarly-constituted processing pipelines, a first processing pipeline for processing the C1 names, and a second processing pipeline for processing the C2 names. Each processing pipeline includes three main stages, including a name-generation stage, a verification stage, and an augmentation stage. The generation stage uses a voting strategy to form an initial set of seed names. The verification stage removes noisy seed names. And the augmentation stage expands each verified name to include related terms. A final edge-forming stage identifies relationships between the expanded C1 names and the expanded C2 names using a voting strategy.
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公开(公告)号:WO2018048683A1
公开(公告)日:2018-03-15
申请号:PCT/US2017/049233
申请日:2017-08-30
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: ALONSO, Omar , KANDYLAS, Vasileios , TREMBLAY, Serge-Eric
CPC classification number: G06F17/24 , G06F16/24578 , G06F16/285 , G06F16/36 , G06F16/93 , G06F17/2211 , G06F17/2235 , G06F17/2775 , G06Q10/1091 , G06Q30/0201 , G06Q50/01 , H04L51/16 , H04L51/32 , H04L67/306
Abstract: Representative embodiments disclose mechanisms to compile documents into a timeline document that tracks the evolution of a topic over time. Social media documents can be used to identify importance or popularity of linked documents (i.e., documents shared by social media in a post, tweet, etc.). A collection of social media documents is analyzed and used to identify a series of n-grams and a ranked list of linked documents. A subset of the ranked list is selected based upon similarity to the series of n-grams. The subset is then summarized and captured, along with underlying supporting data, into an entry of a timeline document. Related entries in different timeline documents can be linked to create a pivot point that allows a user to jump from one timeline to another. Timeline documents can be made available as part of a search performed by a query system.
Abstract translation: 代表性实施例公开了将文档编译成时间线文档的机制,该时间线文档随着时间的推移跟踪话题的演变。 社交媒体文档可用于识别链接文档的重要性或受欢迎程度(即社交媒体在文章中发布的文档,推文等)。 分析社交媒体文档的集合并用于识别一系列n元组和链接文档的排名列表。 基于与一系列n元组的相似性来选择分级列表的子集。 然后将该子集与基础支持数据一起汇总并捕获到时间线文档的条目中。 可以链接不同时间轴文档中的相关条目以创建一个支点,以便用户从一个时间轴跳转到另一个时间轴。 时间轴文件可作为查询系统执行的搜索的一部分。 p>
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公开(公告)号:WO2017160607A1
公开(公告)日:2017-09-21
申请号:PCT/US2017/021701
申请日:2017-03-10
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: KANDYLAS, Vasileios , TREMBLAY, Serge-Eric , ALONSO, Omar
IPC: G06F17/30
CPC classification number: G06F11/1446 , G06F16/128 , G06F16/2246 , G06F16/2477 , G06F16/95 , G06Q50/01
Abstract: Non-limiting examples of the present disclosure describe utilization of a social graph, created from evaluation of extracted social media data, to generate temporal snapshots related to social media data. The temporal snapshots enable users to explore different levels of interest related to social media data. In one example, a social media identifier is identified. A social graph may be accessed to evaluate the social media identifier. An exemplary social graph includes clustered relationships developed based on analysis of social media data extracted from at least one social networking service. The social graph may be used to generate a temporal snapshot for the social media identifier. The temporal snapshot may be transmitted to an entry point for output of the temporal snapshot. Other examples are also described including navigation between content of temporal snapshots based on selection of linked data, among other examples.
Abstract translation: 本公开的非限制性示例描述了对从提取的社交媒体数据的评估创建的社交图的利用,以生成与社交媒体数据相关的时间快照。 时间快照使用户能够探索与社交媒体数据相关的不同兴趣等级。 在一个示例中,识别社交媒体标识符。 社交图可以被访问以评估社交媒体标识符。 示例性社交图包括基于从至少一个社交网络服务提取的社交媒体数据的分析开发的集群关系。 社交图可以被用来为社交媒体标识符生成时间快照。 时间快照可以被发送到用于输出时间快照的入口点。 还描述了其他示例,包括基于对链接数据的选择的时间快照内容之间的导航等。 p>
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公开(公告)号:WO2017146963A1
公开(公告)日:2017-08-31
申请号:PCT/US2017/018023
申请日:2017-02-16
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: ALONSO, Omar , HENTSCHEL, Martin , KANDYLAS, Vasileios , SELLAM, Thibault
CPC classification number: G06F17/30867 , G06F17/3053 , G06F17/3089 , G06Q10/06398 , G06Q50/01
Abstract: Aspects of the technology described herein detect experts in social networks. Experts may be identified within social networks using social network data. A collection of topics may be compiled based on search engine behavioral data. A combination of the social network data and search engine behavioral data is utilized to score each topic within potential topics for a user. When a topic score is over a predetermined threshold, a user may be classified as an expert for that topic. Expert search interfaces may be generated for use in browsing or searching for experts within a topic.
Abstract translation: 这里描述的技术的各方面检测社交网络中的专家。 使用社交网络数据可以在社交网络中识别专家。 可以基于搜索引擎行为数据编译主题集合。 利用社交网络数据和搜索引擎行为数据的组合来针对用户的潜在主题中的每个主题进行评分。 当话题分数超过预定阈值时,用户可以被分类为该话题的专家。 可以生成专家搜索界面,用于浏览或搜索主题中的专家。 p>
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