发明名称 CONTEXTUAL REPRESENTATIONS FROM DATA STREAMS
摘要 A user's experience with internet content may be given semantic meaning based upon extracting features of the content and creating kind classifications from the features. Kind classifications may be used to enrich a user's experience with internet content by providing meaningful navigation and discovery of information. As provided herein, a data stream (e.g., HTML, audio, video, unstructured data, etc.) is received, and features (e.g., text, phrases, titles, paragraphs, image data, etc.) may be extracted from the data stream. Kind classifications may be created based upon the extracted features. For example, a shirt image kind classification may be created based upon a button image feature, a collar image feature, and a sleeve image feature. The user's experience may be enriched by a presentation of actions allowing the user to view similar shirts, purchase the shirt, and/or discover other information relating to the shirt, for example.
申请公布号 US2010169318(A1) 申请公布日期 2010.07.01
申请号 US20080345714 申请日期 2008.12.30
申请人 MICROSOFT CORPORATION 发明人 THOMPSON DONALD;STOJANOVIC ALEXANDER SASHA;KOLMYKOV-ZOTOV ALEXANDER
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项
地址