A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Structured document retrieval makes use of document components as the basis of the retrieval process, rather than complete documents. The inherent relationships between these comp...
Jane Reid, Mounia Lalmas, Karen Finesilver, Morten...
Structured document retrieval makes use of document components as the basis of the retrieval process, rather than complete documents. The inherent relationships between these comp...
Jane Reid, Mounia Lalmas, Karen Finesilver, Morten...
Content-oriented retrieval models are based on a document-term matrix, whereas link-oriented retrieval models are based on an adjacent (parentchild) matrix. Term frequency and inv...
This study examines the facets and patterns of multiple Web query reformulations with a focus on reformulation sequences. Based on IR interaction models, it was presumed that quer...
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, w...