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Sparrho
Sparrho is a scientific recommendation engine providing personalized scientific news-feeds by using proprietary machine learning algorithms to "aggregate, distill and recommend" relevant content.〔(【引用サイトリンク】title=Sparrho: the discovery platform with a bird’s eye view on science )〕 The platform aims to complement traditional methods of finding relevant academic material such as Google Scholar with a system which enables the serendipitous discovery of pertinent content and across relevant scientific fields through user input aided machine learning and contextual analysis.〔(【引用サイトリンク】title=INTERVIEW: Content Recommendation Platform Sparrho Talks Staying On Top Of Science )〕
== Recommendation engine ==
Sparrho uses a "three pronged approach" to content recommendation. Firstly, "data-data analysis" is tackled using techniques such as natural language processing to provide appropriate research based on data provided by users.〔(【引用サイトリンク】title=Sparrho: Peeking under the hood: Sparrho's Discovery Engine )〕 Secondly, "user-user interactions" are utilized to propose a wider range of potentially relevant subject areas to users with similar interests . Finally, "user-data interactions" such as labeling articles as "relevant" or "irrelevant" within a particular scientific field allows Sparrho to personalize user newsfeeds.〔(【引用サイトリンク】title=Sparrho - How does our recommendation engine for science work? )〕
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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