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1. 发明申请

WO2014177181A1 A METHOD OF PROCESSING A RATINGS DATASET 审中-公开
标题翻译：一种处理等级数据的方法
公开(公告)号：WO2014177181A1
公开(公告)日：2014-11-06
申请号：PCT/EP2013/058931
申请日：2013-04-29
申请人： QATAR FOUNDATION , HOARTON, Lloyd , KALDAS, Ihab Francis Ilyas , AMER-YAHIA, Sihem , CHALAMALLA, Anup K.
发明人： KALDAS, Ihab Francis Ilyas , AMER-YAHIA, Sihem , CHALAMALLA, Anup K.
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0282
摘要： Collaborative rating systems have evolved as important tools for users in dealing with information overload while making decisions pertaining to content hosted on the Web. Such systems allow users to evaluate content in the form of ratings. For example, websites such as yelp.com, imdb.com and amazon.com allow users to express their preferences by rating content-items. An interesting type of pattern in such systems is 'who' rated 'what' and 'how'. A data mining system known as PromPt is disclosed for exploring patterns in ratings given by users to items. A new type of association paradigm called promotional pattern is introduced. Promotional patterns are summarized descriptions of ratings given by a subset of users to a subset of items in the system, and the goal is to mine interesting patterns. Such functionality is demonstrated as being useful in a wide variety of real application scenarios such as business intelligence in promotion and advertising.
摘要翻译：合作评级系统已经成为用户处理信息过载的重要工具，同时做出与Web上托管的内容有关的决策。这样的系统允许用户以评级的形式评估内容。例如，yelp.com，imdb.com和amazon.com等网站允许用户通过评估内容项来表达自己的偏好。这种系统中有趣的模式是“谁”评价“什么”和“如何”。公开了一种称为PromPt的数据挖掘系统，用于探索用户对项目给出的评级模式。引入了一种称为促销模式的新型关联模式。促销模式是由用户子集给出的一系列项目的评级的总结描述，目标是挖掘有趣的模式。这样的功能被证明在各种真实应用场景中有用，例如促销和广告中的商业智能。

2. 发明申请

WO2013117250A1 SOCIAL ANALYTICS 审中-公开
标题翻译：社会分析
公开(公告)号：WO2013117250A1
公开(公告)日：2013-08-15
申请号：PCT/EP2012/064707
申请日：2012-07-26
申请人： QATAR FOUNDATION , AMER-YAHIA, Sihem , MADDEN, Samuel Ross , MARCUS, Adam , HOARTON, Lloyd
发明人： AMER-YAHIA, Sihem , MADDEN, Samuel Ross , MARCUS, Adam
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/30713 , G06F17/2785
摘要： A computer-implemented method, comprises extracting a measure from a content article representing a probability that the article relates to a topic, allocating the article to a group of articles relating to at least one topic on the basis of the measure, using a set of social media objects relating to the article to extract a measure representing a sentiment for the article, and aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.
摘要翻译：一种计算机实现的方法，包括从表示所述文章与主题相关的概率的内容文章中提取度量，将所述文章基于所述度量将所述文章分配到与至少一个主题相关的一组文章，使用一组与文章相关的社会媒体对象提取表示文章情绪的措施，并对组内的文章情绪进行综合评估以提供综合评估。

3. 发明申请

WO2014177181A9 A METHOD OF PROCESSING A RATINGS DATASET 审中-公开
公开(公告)号：WO2014177181A9
公开(公告)日：2014-11-06
申请号：PCT/EP2013/058931
申请日：2013-04-29
申请人： QATAR FOUNDATION , HOARTON, Lloyd , KALDAS, Ihab Francis Ilyas , AMER-YAHIA, Sihem , CHALAMALLA, Anup K.
发明人： KALDAS, Ihab Francis Ilyas , AMER-YAHIA, Sihem , CHALAMALLA, Anup K.
IPC分类号： G06Q30/02
摘要： Collaborative rating systems have evolved as important tools for users in dealing with information overload while making decisions pertaining to content hosted on the Web. Such systems allow users to evaluate content in the form of ratings. For example, websites such as yelp.com, imdb.com and amazon.com allow users to express their preferences by rating content-items. An interesting type of pattern in such systems is 'who' rated 'what' and 'how'. A data mining system known as PromPt is disclosed for exploring patterns in ratings given by users to items. A new type of association paradigm called promotional pattern is introduced. Promotional patterns are summarized descriptions of ratings given by a subset of users to a subset of items in the system, and the goal is to mine interesting patterns. Such functionality is demonstrated as being useful in a wide variety of real application scenarios such as business intelligence in promotion and advertising.

4. 发明申请

WO2009085697A1 USER VACILLATION DETECTION AND RESPONSE 审中-公开
标题翻译：用户VACILLATION检测和响应
公开(公告)号：WO2009085697A1
公开(公告)日：2009-07-09
申请号：PCT/US2008/086832
申请日：2008-12-15
申请人： YAHOO! INC. , MARLOW, Cameron , AMER-YAHIA, Sihem , BRACHMAN, Ronald J. , SCHMIDT, Frederick K.
发明人： MARLOW, Cameron , AMER-YAHIA, Sihem , BRACHMAN, Ronald J. , SCHMIDT, Frederick K.
IPC分类号： G06Q50/00
CPC分类号： G06Q30/0269 , G06Q30/02
摘要： An embodiment of the present invention automatically detects when a user is in a state of vacillation based on user on-line behavior, records relevant parameters regarding the vacillation event, and responds accordingly. The response may include providing relevant and/or targeted information that can be used by the user to help remove the indecision. The response may also include providing third-party businesses with information about vacillation events and associated behaviors for a single user or groups of users so that such businesses can identify potential markets/customers or directly engage similar users to facilitate the decision-making process.
摘要翻译：本发明的一个实施例基于用户在线行为自动检测用户何时处于摇动状态，记录关于摇摆事件的相关参数，并相应地进行响应。响应可以包括提供可以由用户使用以帮助消除犹豫不决的相关和/或目标信息。响应还可以包括向第三方企业提供关于单个用户或用户组的移动事件和相关行为的信息，以便这些企业可以识别潜在的市场/客户或直接参与类似的用户以促进决策过程。

5. 发明申请

WO2013152813A1 ARTICLE SELECTION 审中-公开
标题翻译：文章选择
公开(公告)号：WO2013152813A1
公开(公告)日：2013-10-17
申请号：PCT/EP2012/064708
申请日：2012-07-26
申请人： QATAR FOUNDATION , AMER-YAHIA, Sihem , INDYK, Piotr , HOARTON, Lloyd
发明人： AMER-YAHIA, Sihem , INDYK, Piotr
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30705
摘要： A computer-implemented method for selecting an article from an input set of articles stored on a database of a source device, comprises generating a subset of the articles relevant to a query article using a relevance metric representing a measure of dissimilarity between the query article and selected articles in the set, computing distance measures for respective ones of the articles in the subset using article attributes and article commentary objects, using the distance measures to determine measures of the diversity of respective ones of articles in the subset from one another, and using the diversity measures to select a diverse article in the subset.
摘要翻译：一种用于从存储在源设备的数据库上的输入文章集中选择文章的计算机实现的方法，包括使用表示所述查询文章和所述查询文章之间的不相似度的度量的相关性度量来生成与查询文章相关的文章的子集使用文章属性和文章评论对象，使用距离度量来确定子集中相应文章的多样性的度量，并使用多样性措施来选择子集中的不同文章。

6. 发明申请

WO2013113409A1 SUMMARISING A SET OF ARTICLES 审中-公开
标题翻译：概述一套文章
公开(公告)号：WO2013113409A1
公开(公告)日：2013-08-08
申请号：PCT/EP2012/064711
申请日：2012-07-26
申请人： QATAR FOUNDATION , AMER-YAHIA, Sihem , COYNE, Paul , KUSTER, Arend , HOARTON, Lloyd
发明人： AMER-YAHIA, Sihem , COYNE, Paul , KUSTER, Arend
IPC分类号： G06F17/30
CPC分类号： G06F17/30719
摘要： A computer-implemented method for summarising a set of articles relating to a topic, comprises using metadata of respective articles in the set to generate multiple subsets of articles, each article within a subset linked by a common article parameter, summarising content of the articles in a subset by extracting key phrases from constituent articles, editing extracted summaries for respective ones of the subsets of articles according to a predetermined optimisation goal to generate an article review for the topic.
摘要翻译：用于总结与主题相关的一组文章的计算机实现的方法包括使用所述集合中的各个文章的元数据来生成多个文章子集，子集内的每个文章通过公共文章参数链接，总结文章的内容通过从组成文章中提取关键短语的子集，根据预定的优化目标编辑针对文章子集中的各个子集的提取摘要，以生成该主题的文章评论。

7. 发明申请

WO2009085602A1 RECOMMENDATION SYSTEM USING SOCIAL BEHAVIOR ANALYSIS AND VOCABULARY TAXONOMIES 审中-公开
标题翻译：推荐系统使用社会行为分析和VOCABULARY TAXONOMIES
公开(公告)号：WO2009085602A1
公开(公告)日：2009-07-09
申请号：PCT/US2008/086116
申请日：2008-12-10
申请人： YAHOO! INC. , AMER-YAHIA, Sihem , GALLAND, Alban , YERNENI, Ramana , YU, Cong
发明人： AMER-YAHIA, Sihem , GALLAND, Alban , YERNENI, Ramana , YU, Cong
IPC分类号： G06F17/00 , G06Q50/00 , G06F17/30
CPC分类号： G06F17/30867 , G06F3/00
摘要： Methods and systems are provided for providing recommendations to users of a computer- based network of items of potential interest to the users. Items and people of potential interest to users may be determined using obtained word-based social behavior information, semantically-sensitive vocabulary taxonomies, and determined implied topic-specific social networks. The user may be presented with a graphical user interface including the recommendation, an explanation of the rationale relating to the recommendation, and an opportunity for the user to provide feedback relating to the recommendation or the rationale. The feedback may be used to improve future recommendations.
摘要翻译：提供了方法和系统，以向用户提供对用户潜在兴趣的项目的基于计算机的网络的建议。可以使用获得的基于单词的社会行为信息，语义敏感的词汇分类法和确定的隐含的主题特定社交网络来确定用户潜在兴趣的项目和人。可以向用户呈现图形用户界面，包括推荐，与推荐有关的理由的解释，以及用户提供与推荐或理论有关的反馈的机会。反馈可用于改进今后的建议。

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