公开(公告)号：US10592568B2

公开(公告)日：2020-03-17

申请号：US15336044

申请日：2016-10-27

申请人： International Business Machines Corporation

发明人： Priyanka Agrawal ,  Man Chu ,  Steven M. Pritko ,  Justin A. Ziniel

IPC分类号： G06F16/9535

摘要： For a particular search query that is received by a host system, a preliminary set of search results is generated. The host system maps the query to one or more topics that are representative to the query. The host system provides topical click data associated with the topic to a machine-learning module that determines a relevancy score of the result utilizing the topical click data. The host system re-ranks the order of the result within a set of results based upon the relevancy score.

公开(公告)号：US10558687B2

公开(公告)日：2020-02-11

申请号：US15336107

申请日：2016-10-27

申请人： International Business Machines Corporation

发明人： Priyanka Agrawal ,  Man Chu ,  Steven M. Pritko ,  Justin A. Ziniel

IPC分类号： G06F16/332

摘要： A data handling system includes at least two host devices. For a particular search query that is received by a first host device, a preliminary set of search results is therein generated. The first host system maps the query to one or more topics that are representative to the query. The first host system provides topical click data associated with the topic to a machine-learning module located within a second host device that determines a relevancy score of the result utilizing the topical click data. The first host system obtains the relevancy score of the result and re-ranks the order of the result within a set of results based upon the relevancy score.

公开(公告)号：US10726061B2

公开(公告)日：2020-07-28

申请号：US15816170

申请日：2017-11-17

申请人： International Business Machines Corporation

发明人： Man Chu ,  Steven M. Pritko ,  Zhe Zhang ,  Justin A. Ziniel

IPC分类号： G06F16/35 ,  G06F16/332 ,  G06F16/36 ,  G06F16/2457 ,  G06N5/04 ,  G10L15/22 ,  G10L15/18 ,  G06N3/00 ,  G06N20/00 ,  G06F40/30 ,  G06F40/35 ,  G06F40/117

摘要： Software that selects portions of unlabeled text for labeling, by performing the following operations: (i) receiving a set of unlabeled input text for classification with respect to a particular domain, wherein the domain includes a labeled corpus for which topics of a set of topics correspond to labels from the corpus, and wherein the topics include statistical probability distributions of words in the corpus; (ii) performing topic modeling on the input text to associate portions of the input text with respective classifications, wherein the classifications include statistical probability distributions of topics of the set of topics in the respective portions of the input text; and (iii) applying a machine learning-based selection strategy to the portions of the input text and their respective classifications to identify one or more portions of the input text for labeling.

公开(公告)号：US20180121428A1

公开(公告)日：2018-05-03

申请号：US15336044

申请日：2016-10-27

申请人： International Business Machines Corporation

发明人： Priyanka Agrawal ,  Man Chu ,  Steven M. Pritko ,  Justin A. Ziniel

IPC分类号： G06F17/30

摘要： For a particular search query that is received by a host system, a preliminary set of search results is generated. The host system maps the query to one or more topics that are representative to the query. The host system provides topical click data associated with the topic to a machine-learning module that determines a relevancy score of the result utilizing the topical click data. The host system re-ranks the order of the result within a set of results based upon the relevancy score.

公开(公告)号：US20190155947A1

公开(公告)日：2019-05-23

申请号：US15816170

申请日：2017-11-17

申请人： International Business Machines Corporation

发明人： Man Chu ,  Steven M. Pritko ,  Zhe Zhang ,  Justin A. Ziniel

IPC分类号： G06F17/30 ,  G06N99/00 ,  G06N5/04 ,  G06N3/00 ,  G10L15/22 ,  G10L15/18 ,  G06F17/21 ,  G06F17/27

摘要： Software that selects portions of unlabeled text for labeling, by performing the following operations: (i) receiving a set of unlabeled input text for classification with respect to a particular domain, wherein the domain includes a labeled corpus for which topics of a set of topics correspond to labels from the corpus, and wherein the topics include statistical probability distributions of words in the corpus; (ii) performing topic modeling on the input text to associate portions of the input text with respective classifications, wherein the classifications include statistical probability distributions of topics of the set of topics in the respective portions of the input text; and (iii) applying a machine learning-based selection strategy to the portions of the input text and their respective classifications to identify one or more portions of the input text for labeling.

公开(公告)号：US20180121429A1

公开(公告)日：2018-05-03

申请号：US15336107

申请日：2016-10-27

申请人： International Business Machines Corporation

发明人： Priyanka Agrawal ,  Man Chu ,  Steven M. Pritko ,  Justin A. Ziniel

IPC分类号： G06F17/30

CPC分类号： G06F16/3326

摘要： A data handling system includes at least two host devices. For a particular search query that is received by a first host device, a preliminary set of search results is therein generated. The first host system maps the query to one or more topics that are representative to the query. The first host system provides topical click data associated with the topic to a machine-learning module located within a second host device that determines a relevancy score of the result utilizing the topical click data. The first host system obtains the relevancy score of the result and re-ranks the order of the result within a set of results based upon the relevancy score.