Document (#34447)

Author

Bai, J.
Nie, J.-Y.

Title

Adapting information retrieval to query contexts

Source

Information processing and management. 44(2008) no.6, S.1901-1922

Year

2008

Abstract

In current IR approaches documents are retrieved only according to the terms specified in the query. The same answers are returned for the same query whatever the user and the search goal are. In reality, many other contextual factors strongly influence document's relevance and they should be taken into account in IR operations. This paper proposes a method, based on language modeling, to integrate several contextual factors so that document ranking will be adapted to the specific query contexts. We will consider three contextual factors in this paper: the topic domain of the query, the characteristics of the document collection, as well as context words within the query. Each contextual factor is used to generate a new query language model to specify some aspect of the information need. All these query models are then combined together to produce a more complete model for the underlying information need. Our experiments on TREC collections show that each contextual factor can positively influence the IR effectiveness and the combined model results in the highest effectiveness. This study shows that it is both beneficial and feasible to integrate more contextual factors in the current IR practice.

Footnote

Beitrag in einem Themenheft "Adaptive information retrieval"

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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