TIJAH at INEX 2004 Modeling Phrases and Relevance Feedback

Author:

Mihajlović Vojkan,Ramírez Georgina,de Vries Arjen P.,Hiemstra Djoerd,Blok Henk Ernst

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Boncz, P.: Monet: a Next Generation Database Kernel for Query Intensive Applications. PhD thesis, CWI (2002)

2. Grust, T., Sakr, S., Teubner, J.: XQuery on SQL Hosts. In: Proceedings of the 30th Int’l Conference on Very Large Data Bases, VLDB (2004)

3. LNAI;T. Grust,2003

4. Hiemstra, D.: Using Language Models for Information Retrieval. PhD thesis, University of Twente, Twente, The Netherlands (2001)

5. Jiang, M., Jensen, E., Beitzel, S., Argamon, S.: Choosing the Right Bigrams for Information Retrieval. In: Proceeding of the Meeting of the International Federation of Classification Societies (2004)

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1. Efficient evaluation of relevance feedback algorithms for XML content‐based retrieval systems;International Journal of Web Information Systems;2010-06-22

2. Relevance feedback revisited: dealing with content and structure in XML documents;International Journal on Digital Libraries;2010-03

3. Structural Relevance Feedback in XML Retrieval;Flexible Query Answering Systems;2009

4. A multi-ranker model for adaptive XML searching;The VLDB Journal;2007-09-01

5. The Effect of Structured Queries and Selective Indexing on XML Retrieval;Lecture Notes in Computer Science;2006

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