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科研跟踪推送是大数据时代情报服务机构对科研工作的一项重要支持,鉴于已有方法直接应用于科研跟踪推送的局限性,设计面向科研跟踪推送的个性化服务模型。模型根据与科研人员相关的网页判断其总体研究兴趣,利用其发表的文献提取兴趣特征词,通过高频兴趣特征词生成兴趣检索式,对学术数据库进行检索获取推送文献,并将科研人员的特征信息和经过索引的推送文献信息存入相应数据库。最后,用一个示例演示了模型的工作原理。
Scientific research tracking and pushing is an important support for scientific research work in the intelligence service agencies in the era of big data. In view of the limitations of existing methods for scientific research tracking and pushing, a personalized service model for research tracking and pushing is designed. The model judges the overall research interests according to the web pages related to the researchers, extracts the interest feature words by using the published articles, generates the interest search formula by the high frequency interest feature words, searches the academic database for the push documents, and compares the features of the researchers Information and indexed push literature information is stored in the appropriate database. Finally, an example demonstrates how the model works.