The impact of query structure and query expansion on retrieval performance

3Citations
Citations of this article
35Readers
Mendeley users who have this article in their library.

Abstract

The effects of query structures and query expansion (QE) on retrieval performance were tested with a best match retrieval system (INQUERY1). Query structure means the use of operators to express the relations between search keys. Eight different structures were tested, representing weak structures (averages and weighted averages of the weights of the keys) and strong structures (e.g., queries with more elaborated search key relations). QE was based on concepts, which were first selected from a conceptual model, and then expanded by semantic relationships given in the model. The expansion levels were (a) no expansion, (b) a synonym expansion, (c) a narrower concept expansion, (d) an associative concept expansion, and (e) a cumulative expansion of all other expansions. With weak structures and Boolean structured queries, QE was not very effective. The best performance was achieved with one of the strong structures at the largest expansion level.

Cite

CITATION STYLE

APA

Kekäläinen, J., & Järvelin, K. (1998). The impact of query structure and query expansion on retrieval performance. In SIGIR 1998 - Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 130–137). Association for Computing Machinery, Inc. https://doi.org/10.1145/290941.290978

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free