发明名称 MEASURING SEMANTIC INCONGRUITY WITHIN TEXT DATA
摘要 A computing device may determine, based at least in part on one or more semantic exemplars associated with a digital object, a level of incongruity for the digital object, and output an indication of the level of incongruity for the digital object. For instance, a system may provide a web application that can support hedonic web surfing. By modeling Internet users as active information foragers instead of random surfers, a system may obtain quantitative measures of digital objects that users may find psychologically stimulating. The system may utilize a quantitative measure of the conceptual incongruity of digital objects that may predict how interesting users will find an object.
申请公布号 US2015227626(A1) 申请公布日期 2015.08.13
申请号 US201514618838 申请日期 2015.02.10
申请人 Regents of the University of Minnesota 发明人 Mahapatra Amogh;Srivastava Nisheeth;Srivastava Jaideep
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method comprising: processing, by a computing device, textual data associated with a digital object to identify within the textual data one or more semantic exemplars for the digital object; generating, by the computing device, a data structure that represents a semantic space for the digital object, wherein the data structure is generated, by the computing device, to specify a respective measure of similarity between each pairwise combination of the semantic exemplars identified within the textual data; computing, by the computing device and based at least in part on the data structure that represents the semantic space for the digital object, a level of incongruity for the digital object, the level of incongruity representing a predicted estimation of interest of the digital object to a user; and executing a programmatic action based on the computed level of incongruity for the digital object.
地址 Minneapolis MN US