Automatic feedback methods may be used in on-line information retrieval to generate improved query statements based on information contained in previously retrieved documents. In this study automatic relevance feedback techniques are applied to Boolean query statements. The feedback operations are carried out using both the conventional Boolean logic, as well as an extended logic producing improved retrieval effectiveness. Experimental output is included to evaluate the automatic feedback operations
World Wide Web is growing rapidly so with this rapid expansion in the size of web, Information extra...
Relevance feedback has been shown to be a very effective tool for enhancing retrieval results in tex...
© 2018 Elsevier Ltd Pseudo-relevance feedback (PRF) has evident potential for enriching the represen...
The relevance feedback process uses information derived from an initially retrieved set of document...
The well-known relevance feedback process uses information extracted from previously retrieved rele...
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 ...
Information retrieval is, in general, an iterative search process, in which the user often has sever...
Abstract — Information Retrieval is a process of finding the documents in a collection for a specifi...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
In this paper we present five user experiments on incorporating behavioural information into the rel...
Relevance Feedback has proven very effective for improv-ing retrieval accuracy. A difficult yet impo...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
World Wide Web is growing rapidly so with this rapid expansion in the size of web, Information extra...
Relevance feedback has been shown to be a very effective tool for enhancing retrieval results in tex...
© 2018 Elsevier Ltd Pseudo-relevance feedback (PRF) has evident potential for enriching the represen...
The relevance feedback process uses information derived from an initially retrieved set of document...
The well-known relevance feedback process uses information extracted from previously retrieved rele...
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 ...
Information retrieval is, in general, an iterative search process, in which the user often has sever...
Abstract — Information Retrieval is a process of finding the documents in a collection for a specifi...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
In this paper we present five user experiments on incorporating behavioural information into the rel...
Relevance Feedback has proven very effective for improv-ing retrieval accuracy. A difficult yet impo...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-...
World Wide Web is growing rapidly so with this rapid expansion in the size of web, Information extra...
Relevance feedback has been shown to be a very effective tool for enhancing retrieval results in tex...
© 2018 Elsevier Ltd Pseudo-relevance feedback (PRF) has evident potential for enriching the represen...