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Method and system to discover and recommend interesting documents

机译:发现和推荐有趣文档的方法和系统

摘要

Disclosed are several examples of systems that can read millions of news feeds per day about topics (e.g., your customers, competitors, markets, and partners), and provide a small set of the most relevant items to read to keep current with the overwhelming amount of information currently available. Topics of interest can be chosen by the user of the system for use as seeds. The seeds can be vectorized and compared with the target documents to determine their similarity. The similarities can be sorted from highest to lowest so that the most similar seed and target documents are at the top of the list. This output can be produced in XML format so that an RSS Reader can format the XML. This allows for easy Internet access to these recommendations.
机译:公开了几个系统示例,这些系统每天可以阅读数百万条有关主题(例如,您的客户,竞争对手,市场和合作伙伴)的新闻提要,并提供一小部分最相关的项目以供阅读,以确保与时俱进当前可用的信息。系统的用户可以选择感兴趣的主题用作种子。可以对种子进行矢量化处理,并将其与目标文档进行比较以确定它们的相似性。相似度可以从最高到最低进行排序,以便最相似的种子和目标文档位于列表的顶部。可以以XML格式生成此输出,以便RSS阅读器可以格式化XML。这样可以轻松访问这些建议。

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