Document (#42097)

Author

Liu, Y.-H.
Wacholder, N.

Title

Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers

Source

Information processing and management. 53(2017) no.4, S.851-870

Year

2017

Abstract

A commonly used technique for improving search engine performance is result caching. In result caching, precomputed results (e.g., URLs and snippets of best matching pages) of certain queries are stored in a fast-access storage. The future occurrences of a query whose results are already stored in the cache can be directly served by the result cache, eliminating the need to process the query using costly computing resources. Although other performance metrics are possible, the main performance metric for evaluating the success of a result cache is hit rate. In this work, we present a machine learning approach to improve the hit rate of a result cache by facilitating a large number of features extracted from search engine query logs. We then apply the proposed machine learning approach to static, dynamic, and static-dynamic caching. Compared to the previous methods in the literature, the proposed approach improves the hit rate of the result cache up to 0.66%, which corresponds to 9.60% of the potential room for improvement.

Content

Vgl.: https://doi.org/10.1016/j.ipm.2017.03.004.

Theme

Verbale Doksprachen für präkombinierte Einträge

Field

Medizin

Object

MeSH

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3. Falchi, F.; Lucchese, C.; Orlando, S.; Perego, R.; Rabitti, F.: Similarity caching in large-scale image retrieval (2012) 0.28

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4. Mahoui, M.; Miled, Z.B.; Godse, A.; Kulkarni, H.; Li, N.: BioFacets : faceted classification for biological information (2006) 0.23

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5. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.15

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