Term-Specific Smoothing for the Language Modeling Approach to Information Retrieval: The Importance of a Query Term


Share/Save/Bookmark

Hiemstra, D. (2002) Term-Specific Smoothing for the Language Modeling Approach to Information Retrieval: The Importance of a Query Term. In: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2002), 11-15 Aug 2002, Tampere, Finland.

[img]
Preview
PDF
185Kb
Abstract: This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approach we introduce the notion of importance of a query term. The importance of a query term is an unknown parameter that explicitly models which of the query terms are generated from the relevant documents (the important terms), and which are not (the unimportant terms). The new language modeling approach is shown to explain a number of practical facts of today's information retrieval systems that are not very well explained by the current state of information retrieval theory, including stop words, mandatory terms, coordination level ranking and retrieval using phrases.
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/66443
Official URL:http://doi.acm.org/10.1145/564376.564385
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page