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1. 发明申请

US20170351750A1 RANKING ANSWERS FOR ON-LINE COMMUNITY QUESTIONS 审中-公开
公开(公告)号：US20170351750A1
公开(公告)日：2017-12-07
申请号：US15170754
申请日：2016-06-01
申请人： Yahoo! Inc.
发明人： Oleg Rokhlenko , David Carmel , Idan Szpektor , Adi Omari
IPC分类号： G06F17/30
CPC分类号： G06Q50/01 , G06F16/9535
摘要： Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for in part, to facilitate and/or support one or more operations and/or techniques for ranking answers for on-line community questions.

2. 发明申请

US20170249311A1 QUALITY-BASED SCORING AND INHIBITING OF USER-GENERATED CONTENT 审中-公开
公开(公告)号：US20170249311A1
公开(公告)日：2017-08-31
申请号：US15055220
申请日：2016-02-26
申请人： Yahoo! Inc.
发明人： Dan Pelleg , Oleg Rokhlenko , Idan Szpektor , Yuval David Pinter , David Carmel , Shirin Oskooi , Somesh Jain , Archit Shrivastava
IPC分类号： G06F17/30 , G06N5/02
CPC分类号： G06N5/04
摘要： Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.

3. 发明申请

US20200090062A1 QUALITY-BASED SCORING AND INHIBITING OF USER-GENERATED CONTENT 审中-公开
公开(公告)号：US20200090062A1
公开(公告)日：2020-03-19
申请号：US16693825
申请日：2019-11-25
申请人： Yahoo! Inc.
发明人： Dan Pelleg , Oleg Rokhlenko , Idan Szpektor , Yuval David Pinter , David Carmel , Shirin Oskooi , Somesh Jain , Archit Shrivastava
IPC分类号： G06N5/04
摘要： Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.

4. 发明申请

US20180196822A1 COMPUTERIZED SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING AND PROVIDING INTERACTIVE QUERY SUGGESTIONS WITHIN AN ELECTRONIC MAIL SYSTEM 审中-公开
公开(公告)号：US20180196822A1
公开(公告)日：2018-07-12
申请号：US15402391
申请日：2017-01-10
申请人： Yahoo! Inc.
发明人： Liane Lewin-Eytan , David Carmel , Ariel Raviv , Alexander Libov , Yoelle Maarek , Peter Monaco
IPC分类号： G06F17/30
CPC分类号： G06F16/90324 , G06F16/3322 , G06Q10/107
摘要： Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically generate and provide an interactive rich set of personalized query suggestions within a unified framework. The disclosed systems and methods are able to integrate attributes associated with message data and metadata by transforming such attributes into facets that are combined with term suggestions and presented to the user in a unified manner. The instant disclosure provides an interactive search suggestion mechanism that narrows the search as the user interacts with the dynamically generated and provided suggestions.

5. 发明授权

US10146872B2 Method and system for predicting search results quality in vertical ranking 有权
公开(公告)号：US10146872B2
公开(公告)日：2018-12-04
申请号：US14332501
申请日：2014-07-16
申请人： Yahoo! Inc.
发明人： David Carmel , Ran Wolff
IPC分类号： G06F17/30
摘要： Methods, systems and programming for predicting search results quality. In one example, a search query is received from a user. A plurality of search results are obtained from a content source based on the search query. The plurality of search results are ranked based on their relevance scores with respect to the search query. A distribution of the relevance scores of the plurality of search results is normalized in each position of the ranking. A metric of the content source is computed based on the normalized distribution of the relevance scores. The metric indicates a relevance between the plurality of search results and the search query.

6. 发明申请

US20170329779A1 SYSTEM AND METHOD FOR RELEVANCE-BASED ELECTRONIC MESSAGE PRESENTATION 审中-公开
公开(公告)号：US20170329779A1
公开(公告)日：2017-11-16
申请号：US15150918
申请日：2016-05-10
申请人： YAHOO! INC.
发明人： Liane Lewin-Eytan , David Carmel , Yoelle Maarek , Ariel Raviv , Alexander Libov , Peter Monaco
IPC分类号： G06F17/30 , H04L12/58
CPC分类号： H04L51/16 , G06F16/335 , G06Q10/10 , G06Q10/107 , H04L51/22
摘要： Relevant messages, or “hero results”, which are not ranked at the uppermost part of a time-based listing of search results are identified and such hero results can be displayed apart from the time-based listing of search results. A user can be provided with messages in a time-based presentation as well as messages in a relevance-based presentation. The user can be presented with the most relevant messages from a set of message generated from a search query, even where the most relevant messages are not the most recent ones.

7. 发明申请

US20160019213A1 METHOD AND SYSTEM FOR PREDICTING SEARCH RESULTS QUALITY IN VERTICAL RANKING 审中-公开
标题翻译：搜索结果的方法和系统在垂直排序中的质量
公开(公告)号：US20160019213A1
公开(公告)日：2016-01-21
申请号：US14332501
申请日：2014-07-16
申请人： Yahoo! Inc.
发明人： David Carmel , Ran Wolff
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Methods, systems and programming for predicting search results quality. In one example, a search query is received from a user. A plurality of search results are obtained from a content source based on the search query. The plurality of search results are ranked based on their relevance scores with respect to the search query. A distribution of the relevance scores of the plurality of search results is normalized in each position of the ranking. A metric of the content source is computed based on the normalized distribution of the relevance scores. The metric indicates a relevance between the plurality of search results and the search query.
摘要翻译：用于预测搜索结果质量的方法，系统和程序设计。在一个示例中，从用户接收到搜索查询。基于搜索查询从内容源获得多个搜索结果。根据搜索查询的相关性得分，对多个搜索结果进行排序。多个搜索结果的相关性分数的分布在排名的每个位置被归一化。基于相关性分数的归一化分布来计算内容源的度量。该度量指示多个搜索结果和搜索查询之间的相关性。

8. 发明申请

US20180129731A1 TOP-K QUERY PROCESSING WITH CONDITIONAL SKIPS 审中-公开
公开(公告)号：US20180129731A1
公开(公告)日：2018-05-10
申请号：US15345277
申请日：2016-11-07
申请人： Yahoo! Inc.
发明人： David Carmel , Guy Gueta , Edward Bortnikov
IPC分类号： G06F17/30
CPC分类号： G06F16/334 , G06F16/93
摘要： Methods and apparatus for performing top-k query processing include pruning a list of documents to identify a subset of the list of documents, where pruning includes, for other query terms in the set of query terms, skipping a document in the list of documents based, at least in part, on the contribution of the query term to the score of the corresponding document and the term upper bound for each other query term, in the set of query terms, that matches the document.

9. 发明申请

US20160188599A1 ELECTRONIC MESSAGE SEARCH SYSTEM AND METHOD 有权
标题翻译：电子消息搜索系统和方法
公开(公告)号：US20160188599A1
公开(公告)日：2016-06-30
申请号：US14587585
申请日：2014-12-31
申请人： YAHOO! INC.
发明人： Yoelle Maarek , Liane Lewin-Eytan , Ariel Raviv , David Carmel , Guy Halawi , Zohar Karnin , Peter Monaco
IPC分类号： G06F17/30 , H04L12/58
CPC分类号： H04L51/22 , G06F17/30979
摘要： A search query for searching electronic messages, such as email, may be used to search for different types of items, such as and without limitation electronic messages, contacts, photos, documents, such as and without limitation papers, presentations, etc., business entities, personal information extracted from messages, such as and without limitation purchase orders, shipments, reservations, travel itineraries, etc. Several sources of data, which may be indexed for searching, such as and without limitation a personal mail search index, contacts, or business entity, index, attachments index, extracted data index, etc. may be searched using the search query. A number of top search result items, which may include different types of items, may be presented apart from other search result items.
摘要翻译：用于搜索电子消息（例如电子邮件）的搜索查询可以用于搜索不同类型的项目，例如但不限于电子消息，联系人，照片，文档，例如但不限于论文，演示文稿等等。实体，从消息中提取的个人信息，例如但不限于采购订单，出货，预订，旅行行程等。可以索引用于搜索的几个数据来源，例如但不限于个人邮件搜索索引，联系人，或业务实体，索引，附件索引，提取的数据索引等可以使用搜索查询进行搜索。可以将除了其他搜索结果项目之外的多个顶部搜索结果项目可以包括不同类型的项目。

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