Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows.
(2008)
Conference Proceeding
SONG, D., HUANG, Q., RUGER, S. and BRUZA, P. 2008. Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. In Macdonald, C., Ounis, I., Plachouras, V., Ruthven I. and White, R.W. (eds.) Advances in information retrieval: proceedings of the 30th European conference on information retrieval (IR) research (ECIR 2008), 30 March - 3 April 2008, Glasgow, UK. Lecture notes in computer science, 4956. Berlin: Springer [online], pages 334-345. Available from: https://doi.org/10.1007/978-3-540-78646-7_31
This paper presents a novel framework to further advance the recent trend of using query decomposition and high-order term relationships in query language modeling, which takes into account terms implicitly associated with different subsets of query... Read More about Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows..