The Open University at TREC 2007 Enterprise Track
http://data.open.ac.uk/oro/36076
is a Article , Academic article

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Property Object
Creator
Dataset Open Research Online
At The Sixteenth Text REtrieval Conference (TREC2007)
Date 2007
Is part of repository
Status Peer reviewed
URI
  • http://data.open.ac.uk/oro/document/113747
  • http://data.open.ac.uk/oro/document/113748
  • http://data.open.ac.uk/oro/document/113749
  • http://data.open.ac.uk/oro/document/113750
  • http://data.open.ac.uk/oro/document/113751
  • http://data.open.ac.uk/oro/document/113752
  • http://data.open.ac.uk/oro/document/165701
Abstract The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search and Document Search tasks of the Enterprise Track in TREC 2007. In both the document and expert search tasks, we have studied the effect of anchor texts in addition to document contents, document authority, url length, query expansion, and relevance feedback in improving search effectiveness. In the expert search task, we have continued using a two-stage language model consisting of a document relevance and cooccurrence models. The document relevance model is equivalent to our approach in the document search task. We have used our innovative multiple-window-based cooccurrence approach. The assumption is that there are multiple levels of associations between an expert and his/her expertise. Our experimental results show that the introduction of additional features in addition to document contents has improved the retrieval effectiveness.
Authors authors
Type
Label Zhu, Jianhan ; Song, Dawei and Rüger, Stefan (2007). The Open University at TREC 2007 Enterprise Track. In: The Sixteenth Text REtrieval Conference (TREC2007), 06-09 Nov 2007, Gaithersburg, Maryland USA.
Title The Open University at TREC 2007 Enterprise Track