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Probabilistic Reuse of Past Search Results

Gutiérrez-Soto, Claudio and Hubert, Gilles Probabilistic Reuse of Past Search Results. (2014) In: International Conference on Database and Expert Systems Applications - DEXA 2014, 1 September 2014 - 5 September 2014 (Munich, Germany).

(Document in English)

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Official URL: http://dx.doi.org/10.1007/978-3-319-10073-9_21


In this paper, a new Monte Carlo algorithm to improve precision of information retrieval by using past search results is presented. Experiments were carried out to compare the proposed algorithm with traditional retrieval on a simulated dataset. In this dataset, documents, queries, and judgments of users were simulated. Exponential and Zipf distributions were used to build document collections. Uniform distribution was applied to build the queries. Zeta distribution was utilized to simulate the Bradford’s law representing the judgments of users. Empirical results show a better performance of our algorithm compared with traditional retrieval.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. The definitive version is available at http://link.springer.com/chapter/10.1007%2F978-3-319-10073-9_21
HAL Id:hal-01141438
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universidad del Bío Bío - UBB (CHILE)
Laboratory name:
Deposited On:13 Apr 2015 07:06

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