Im some recent experimental document retrieval systems, emphasis has been placed on the acquisition of a detailed model of the information need through interaction with the user. It has been argued that these “enhanced ” queries, in combination with relevance feedback, will improve retrieval performance. In this paper, we describe a study with the aim of evaluating how easily enhanced queries can be acquired from users and how effectively this additional knowledge can be used in retrieval. The results indicate that significant effectiveness benefits can be obtained through the acquisition of domain concepts related to query concepts, together with their level of importance to the information need.
This paper presents an algorithm to improve a web search query based on the feedback on the viewed ...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
We introduce a novel technique for document summarisation which we call query association. Query ass...
The effective use of information retrieval systems by end-users has been limited by their lack of k...
Abstract. Query expansion methods have been studied for a long time – with debatable success in many...
In this paper we present five user experiments on incorporating behavioural information into the rel...
Users of online search engines often find it difficult to express their need for information in the ...
Analysis of queries posed to open-domain question-answering systems indicates that particular types ...
A user-centered investigation of interactive query ex-pansion within the context of a relevance feed...
This paper presents a new relevance feedback technique; selectively combining evidence based on the ...
In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiven...
It has been known that using different representations of a query retrieves different sets of docume...
The Web provides a massive knowledge source, as do intranets and other electronic document collectio...
The Web provides a massive knowledge source. The same is true for intranets and other electronic doc...
The query-based search paradigm is based on the assumption that the searchers are able to come up wi...
This paper presents an algorithm to improve a web search query based on the feedback on the viewed ...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
We introduce a novel technique for document summarisation which we call query association. Query ass...
The effective use of information retrieval systems by end-users has been limited by their lack of k...
Abstract. Query expansion methods have been studied for a long time – with debatable success in many...
In this paper we present five user experiments on incorporating behavioural information into the rel...
Users of online search engines often find it difficult to express their need for information in the ...
Analysis of queries posed to open-domain question-answering systems indicates that particular types ...
A user-centered investigation of interactive query ex-pansion within the context of a relevance feed...
This paper presents a new relevance feedback technique; selectively combining evidence based on the ...
In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiven...
It has been known that using different representations of a query retrieves different sets of docume...
The Web provides a massive knowledge source, as do intranets and other electronic document collectio...
The Web provides a massive knowledge source. The same is true for intranets and other electronic doc...
The query-based search paradigm is based on the assumption that the searchers are able to come up wi...
This paper presents an algorithm to improve a web search query based on the feedback on the viewed ...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
We introduce a novel technique for document summarisation which we call query association. Query ass...