引进外部资金的赠款推荐制度
A Recommendation System of Grants to Acquire External Funds
摘要：
开发了利用科研补助金（KAKEN）关键词向大学研究人员推荐竞争性补助金的推荐系统。该系统通过利用KAKEN申请与相应基金网站上的各种信息之间的关联规则，确定研究人员对各基金的推荐顺序。然而，我们开发的以前的系统在检索算法中有一些致命的错误。我们修改了算法，并扩展了Web挖掘的检索数据。如果资助信息不足以确定关系，则系统为获得过去资助的研究者调查数据库中的过去KAKEN记录。此外，该系统还检索了研究人员的论文，以搜索他们的兴趣。研究者对研究经费的兴趣一致度增加。本文讨论了一些模拟结果。
英文摘要：
The recommendation system of the competitive grants to university researchers by using the Grants-in-Aid for Scientific Research (KAKEN) keywords has been developed. The system can determine the recommendation order of researchers to each grant by the using the association rules between KAKEN application and various information from the web site of the corresponding grant. However, our developed previous system has some fatal errors in the retrieval algorithm. We modify the algorithm and extend the retrieval data for web mining. If the grant information is not enough to determine the relation, the system investigates the past KAKEN records in the database for the researcher who acquired the past grant. Moreover, the system retrieves the papers of the researchers to search their interests. As a result, the agreement degree of the researcher's interest to the grant increases. This paper discusses some simulation results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
