), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly attributed, not used for commercial purposes, and, if transformed, the resulting work is redistributed under the same or similar license to this one. Objectives – To compare the performance of the vector space model and the probabilistic weighting model of relevance feedback for the overall purpose of determining the most useful relevance feedback procedures. The amount of improvement that can be obtained from searching several test document collections with only one feedback iteration of each relevance feedback model was measured. Design – The experimental design consisted of 72 different tests: 2 different relevance feed...
Relevance Feedback is a technique that helps an Information Retrieval system modify a query in respo...
This paper presents a new relevance feedback technique; selectively combining evidence based on the ...
Abstract: The aim of the relevance feedback model presented here is to apply accumulated users ’ kno...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
Relevance feedback is an effective approach to improve re-trieval quality over the initial query. Ty...
Information Retrieval is the science of searching for information or documents based on information...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
A new relevance feedback technique called Weight Propagation has been developed which provides great...
This thesis compares four relevance feedback methods. The Rocchio and Ide dec-hi algorithms for the ...
Abstract: In HARD track of HARD 2005, we classify the 50 queries into 7 categories and make use of 3...
track at TREC 2009. We used only the Category B subset of the ClueWeb collection; our preprocessing ...
This document contains a description of experiments for the 2008 Relevance Feedback track. We experi...
SIGLEAvailable from British Library Document Supply Centre- DSC:D40550/82 / BLDSC - British Library ...
In vector space models, traditional relevance feedback techniques, which utilize the terms in the re...
Relevance Feedback is a technique that helps an Information Retrieval system modify a query in respo...
This paper presents a new relevance feedback technique; selectively combining evidence based on the ...
Abstract: The aim of the relevance feedback model presented here is to apply accumulated users ’ kno...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
Relevance feedback is an effective approach to improve re-trieval quality over the initial query. Ty...
Information Retrieval is the science of searching for information or documents based on information...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
A new relevance feedback technique called Weight Propagation has been developed which provides great...
This thesis compares four relevance feedback methods. The Rocchio and Ide dec-hi algorithms for the ...
Abstract: In HARD track of HARD 2005, we classify the 50 queries into 7 categories and make use of 3...
track at TREC 2009. We used only the Category B subset of the ClueWeb collection; our preprocessing ...
This document contains a description of experiments for the 2008 Relevance Feedback track. We experi...
SIGLEAvailable from British Library Document Supply Centre- DSC:D40550/82 / BLDSC - British Library ...
In vector space models, traditional relevance feedback techniques, which utilize the terms in the re...
Relevance Feedback is a technique that helps an Information Retrieval system modify a query in respo...
This paper presents a new relevance feedback technique; selectively combining evidence based on the ...
Abstract: The aim of the relevance feedback model presented here is to apply accumulated users ’ kno...