公开(公告)号：US09607105B1

公开(公告)日：2017-03-28

申请号：US13075867

申请日：2011-03-30

申请人： Ramya Dass ,  Manikandan Thangarathnam

发明人： Ramya Dass ,  Manikandan Thangarathnam

IPC分类号： G06F17/30

CPC分类号： G06F17/30985 ,  G06F17/30637 ,  G06F17/30657

摘要： Methods and systems of searching for text across platforms are usable to guide users to additional content for consumption. Search queries are based on text found within digital content and results are provided to indicate content from multiple different content items that contain the same or similar text. Cross-platform searches provide extensive breadth when a consumer is searching for similar information among a myriad of different sources. Additionally, search filtering may help provide more relevant results and search result weighting may provide prioritized lists of relevant content.

公开(公告)号：US09251228B1

公开(公告)日：2016-02-02

申请号：US13092098

申请日：2011-04-21

申请人： Deepa Subramanian Iyer ,  Ramya Dass

发明人： Deepa Subramanian Iyer ,  Ramya Dass

IPC分类号： G06F17/00 ,  G06F17/30

CPC分类号： G06F17/30572 ,  G06F17/30905 ,  G06F17/30914

摘要： A method and system for eliminating global and local noise in periodical items is described. An exemplary method may include preprocessing each item in a set of items using one or more rules, removing global noise from the set of items using semantic similarities across items in the set of items, and removing local noise in each item in the set of items based on text content in each item.

摘要翻译： 描述了一种用于消除定期项目中的全局和局部噪声的方法和系统。 示例性方法可以包括使用一个或多个规则来预处理一组项目中的每个项目，使用该组项目中的项目之间的语义相似度从该组项目中移除全局噪声，以及去除该组项目中的每个项目中的局部噪声 基于每个项目中的文本内容。