Add to ORKGThe relevance feedback process uses information derived from an initially retrieved set of documents to improve subsequent search formulations and retrieval output. In a Boolean query environment this implies that new query terms must be identified and Boolean operators must be chosen automatically to connect the various query terms. In this study, two recently proposed automatic methods for relevance feedback of Boolean queries are evaluated and conclusions are drawn concerning the use of effective feedback methods in a Boolean query environment
This study outlines an adaptive method which constructs improved query vectors based on the user pr...
Users of online web engines frequently think that it�s hard to express their requirement for informa...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
The well-known relevance feedback process uses information extracted from previously retrieved rele...
Automatic feedback methods may be used in on-line information retrieval to generate improved query ...
One of the difficulties in using current Boolean-based information retrieval systems (especially th...
Users of online search engines often find it difficult to express their need for information in the ...
In this paper, we evaluate query suggestion for Boolean queries in a news monitoring system. Users o...
Modern information retrieval systems are designed to supply relevant information in response to req...
In this paper we present five user experiments on incorporating behavioural information into the rel...
Abstract — Information Retrieval is a process of finding the documents in a collection for a specifi...
Relevance Feedback is a technique that helps an Information Retrieval system modify a query in respo...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
This study outlines an adaptive method which constructs improved query vectors based on the user pr...
Users of online web engines frequently think that it�s hard to express their requirement for informa...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
The well-known relevance feedback process uses information extracted from previously retrieved rele...
Automatic feedback methods may be used in on-line information retrieval to generate improved query ...
One of the difficulties in using current Boolean-based information retrieval systems (especially th...
Users of online search engines often find it difficult to express their need for information in the ...
In this paper, we evaluate query suggestion for Boolean queries in a news monitoring system. Users o...
Modern information retrieval systems are designed to supply relevant information in response to req...
In this paper we present five user experiments on incorporating behavioural information into the rel...
Abstract — Information Retrieval is a process of finding the documents in a collection for a specifi...
Relevance Feedback is a technique that helps an Information Retrieval system modify a query in respo...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
This study outlines an adaptive method which constructs improved query vectors based on the user pr...
Users of online web engines frequently think that it�s hard to express their requirement for informa...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...