Abstract
In general, document representation and ranking are dependent on context. In this work, we introduce the notion of optimal context, i.e. a context which gives the best ranking. We develop an algorithm to compute this optimal context and we show that it has an effect of query reformulation. Our approach gives substantial improvements in retrieval performance over known models.
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Mbarek, R., Tmar, M., Hattab, H. (2014). An Optimal Context for Information Retrieval. In: Gu, Q., Hell, P., Yang, B. (eds) Algorithmic Aspects in Information and Management. AAIM 2014. Lecture Notes in Computer Science, vol 8546. Springer, Cham. https://doi.org/10.1007/978-3-319-07956-1_29
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DOI: https://doi.org/10.1007/978-3-319-07956-1_29
Publisher Name: Springer, Cham
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