Advances in information retrieval : recent research from the Center for Intelligent Information Retrieval
著者
書誌事項
Advances in information retrieval : recent research from the Center for Intelligent Information Retrieval
(The Kluwer international series on information retrieval, 7)
Kluwer Academic, 2000
大学図書館所蔵 全17件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department ofthe University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, although there had been a sizeable information retrieval (IR) research group for over 10 years prior to that grant. Thebasic goal ofthese Centers is to combine basic research, applied research, and technology transfer. The CIIR has been successful in each of these areas, in that it has produced over 270 research papers, has been involved in many successful government and industry collaborations, and has had a significant role in high-visibility Internet sites and start-ups. As a result of these efforts, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed, text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond "traditional" areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval.
目次
- Preface. Contributing Authors. 1. Combining Approaches to Information Retrieval
- W. Bruce Croft. 2. The Use of Exploratory Data Analysis in Information Retrieval Research
- W.R. Greiff. 3. Language Models for Relevance Feedback
- J.M. Ponte. 4. Topic Detection and Tracking: Event Clustering as a Basis for First Story Detection
- R. Papka, J. Allan. 5. Distributed Information Retrieval
- J. Callan. 6. Topic-Based Language Models for Distributed Retrieval
- J. Xu, B. Croft. 7. The Effect of Collection Organization and Query Locality on Information Retrieval System Performance
- Z. Lu, K.S. McKinley. 8. Cross-Language Retrieval via Transitive Translation
- L.A. Ballesteros. 9. Building, Testing, and Applying Concept Hierarchies
- M. Sanderson, D. Lawrie. 10. Appearance-Based Global Similarity Retrieval of Images
- S. Ravela, C. Luo. Index.
「Nielsen BookData」 より