公开(公告)号：US20160224655A1

公开(公告)日：2016-08-04

申请号：US15006933

申请日：2016-01-26

Applicant: Dell Software Inc.

Inventor： Jonathan James Oliver ,  Wray Lindsay Buntine ,  George Roumeliotis

IPC: G06F17/30 ,  H04L12/58 ,  H04L29/08

CPC classification number: G06F16/285 ,  G06F16/24578 ,  G06F16/334 ,  G06F16/355 ,  G06F16/9535 ,  H04L51/18 ,  H04L67/02 ,  Y10S707/99935

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract translation: 网络系统提供具有与请求者设备的相关性的高统计度量的文档的实时自适应推荐集合。 该建议集是基于分析兴趣集文档的文本进行优化的，将这些文档分类成群集，提取代表群集中文档主题或概念的关键字，以及过滤可利用站点的系统可访问的群体，或 互联网搜索引擎。 系统自动或手动调用，并开发并实时提出建议。 推荐集可以呈现为问候，通知，警报，HTML片段，传真，语音邮件，或客户电子邮件，个人电子邮件，职位发布和出售或交换的报价的自动分类或路由。