Efficient and self-tuning incremental query expansion for top-k query processing

@inproceedings{Theobald2005EfficientAS,
  title={Efficient and self-tuning incremental query expansion for top-k query processing},
  author={Martin Theobald and Ralf Schenkel and Gerhard Weikum},
  booktitle={SIGIR},
  year={2005}
}
We present a novel approach for efficient and self-tuning query expansion that is embedded into a top-k query processor with candidate pruning. Traditional query expansion methods select expansion terms whose thematic similarity to the original query terms is above some specified threshold, thus generating a disjunctive query with much higher dimensionality. This poses three major problems: 1) the need for hand-tuning the expansion threshold, 2) the potential topic dilution with overly… CONTINUE READING
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