A Novel Framework for Predicting Performance of Keyword Queries Over Database

Author:

Husain Mujaffar,Shanker Udai

Publisher

Springer Singapore

Reference13 articles.

1. Kurland, O., Shtok, A., Carmel, D., Hummel, S.: A unified framework for post-retrieval query-performance prediction. In: Proceedings of 3rd International ICTIR, Bertinoro, Italy, pp. 15–26 (2011)

2. Lam, K.-Y., Ulusoy, O., Lee, T.S.H., Chan, E., Li, G.: An efficient method for generating location updates for processing of location-dependent continuous queries. 0-7695-0996-7/01, IEEE (2001)

3. Hauff, C., Azzopardi, L., Hiemstra, D., Jong, F.: Query performance prediction: evaluation contrasted with effectiveness. In: Proceedings of 32nd ECIR, Milton Keynes, U.K., pp. 204–216 (2010)

4. Kurland, O., Shtok, A., Hummel, S., Raiber, F., Carmel, D., Rom, O.: Back to the roots: a probabilistic framework for query performance prediction. In: Proceedings of 21st International CIKM, Maui, HI, USA, pp. 823–832 (2012)

5. Hristidis, V., Gravano, L., Papakonstantinou, Y.: Efficient IR style keyword search over relational databases. In: Proceedings of 29th VLDB Conference, Berlin, Germany, pp. 850–861 (2003)

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