| 文献推荐系统：提高信息检索效率之途 |
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| 引用本文： | 刘婧婧,张向民.文献推荐系统：提高信息检索效率之途[J].图书情报工作,2007,51(12):11-11. |
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| 作者姓名： | 刘婧婧 张向民 |
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| 作者单位： | 美国罗格斯大学通信信息与图书馆学学院,新伯朗士威,08901 |
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| 摘 要： | Traditional Information Retrieval (IR) systems have limitations in improving search performance in today’s information environment. The high recall and poor precision of traditional IR systems are only as good as with the accuracy of search query, which is, however, usually difficult for the user to construct. It is also time-consuming for the user to evaluate each search result. The recommendation techniques having been developed since the early 1990s help solve the problems that traditional IR systems have. This paper explains the basic process and major elements of document recommender systems, especially the two recommendation techniques of content-based filtering and collaborative filtering. Also discussed are the evaluation issue and the problems that current document recommender systems are facing, which need to be taken into account in future system designs. Traditional Information Retrieval (IR) systems have limitations in improving search performance in today’s information environment. The high recall and poor precision of traditional IR systems are only as good as with the accuracy of search query, which is, however, usually difficult for the user to construct. It is also time-consuming for the user to evaluate each search result. The recommendation techniques having been developed since the early 1990s help solve the problems that traditional IR systems have. This paper explains the basic process and major elements of document recommender systems, especially the two recommendation techniques of content-based filtering and collaborative filtering. Also discussed are the evaluation issue and the problems that current document recommender systems are facing, which need to be taken into account in future system designs.
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| 关 键 词： | 文献推荐系统 信息检索 推荐技术 系统评估 |
| 收稿时间： | 2007-09-05 |
| 修稿时间： | 2007-10-08 |
Document Recommender Systems: Approaches to Increasing Information Retrieval Effectiveness |
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| Liu Jingjing,Zhang Xiangmin.Document Recommender Systems: Approaches to Increasing Information Retrieval Effectiveness[J].Library and Information Service,2007,51(12):11-11. |
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| Authors: | Liu Jingjing Zhang Xiangmin |
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| Abstract: | Traditional Information Retrieval (IR) systems have limitations in improving search performance in today's information environment. The high recall and poor precision of traditional IR systems are only as good as with the accuracy of search query, which is, however,usually difficult for the user to construct. It is also time-consuming for the user to evaluate each search result. The recommendation techniques having been developed since the early 1990s help solve the problems that traditional IR systems have. This paper explains the basic process and major elements of document recommender systems, especially the two recommendation techniques of content-based filtering and collaborative filtering. Also discussed are the evaluation issue and the problems that current document recommender systems are facing, which need to be taken into account in future system designs. |
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| Keywords: | document recommender system information retvieval recommender tech system evaluation system evaluation |
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