Abstract
Information retrieval is a process of representing, retrieving and normalising data items. The retrieval system is a method that verifies how a system responds against users’ needs. The accessing of useful information is directly related by the user’s job and the conceptual view of the information possessed by the retrieval system. In order to increase the efficiency of the retrieval system, the authors have considered new fields (TITLE and DESC) for evaluating the recall and precision parameters. This paper demonstrates the comparison of baseline probabilistic models with document fields in the retrieval process and for experimental analysis. The authors’ have used the standard TREC Ad hoc test collections based on the weighting and field models.
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Kalra, P., Mehrotra, D., Wahid, A. (2019). Field Based Weighting Information Retrieval on Document Field of Ad Hoc Dataset. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_8
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DOI: https://doi.org/10.1007/978-981-13-0589-4_8
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