Information retrieval is concerned withorganizing and retrieving relevant documentsfrom a set of unstructured collections ofdocuments.In most collections, the same conceptmay be referred to using different word.This issueis known as synonymy which has an impact on therecall of most information retrieval systems.Theproblem can be eliminated by means of relevancefeedback where user judges the result of the initialquery, and system refines the query vector toimprove the recall.But in normal relevancefeedback, users have to give manual feedbackwhich is inflexible, so the proposed system usespseudo relevance feedback where top-k retrieveddocuments are assumed to be relevance and queryis rewrite using Rocchio algorithm.Finally thesystem analyzes ...
In this paper, we propose a pseudo-relevance feedback approach based on linear operators: vector spa...
Pseudo relevance feedback (PRF) is one of effective prac-tices in Information Retrieval. In particul...
In this paper, we report our experiments in the TREC 2009 Million Query Track. Our first line of stu...
In information retrieval, the number of relevant documents that are refound will be affected by the ...
This paper investigates methods for user and pseudo relevance feedback in video event retrieval. Exi...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation...
Rocchio\u27s relevance feedback model is a classic query expansion method and it has been shown to b...
This thesis compares four relevance feedback methods. The Rocchio and Ide dec-hi algorithms for the ...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
Pseudo relevance feedback is empirically known as a useful method for enhancing retrieval performanc...
We propose a relative relevance feedback method for image retrieval systems. Relevance feedback is a...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
ABSTRAKSI: Peningkatan jumlah informasi digital yang terus bertambah saat ini menyebabkan kebutuhan ...
In the area of information retrieval the concept of relevance feedback is used to provide high relev...
In this paper, we propose a pseudo-relevance feedback approach based on linear operators: vector spa...
Pseudo relevance feedback (PRF) is one of effective prac-tices in Information Retrieval. In particul...
In this paper, we report our experiments in the TREC 2009 Million Query Track. Our first line of stu...
In information retrieval, the number of relevant documents that are refound will be affected by the ...
This paper investigates methods for user and pseudo relevance feedback in video event retrieval. Exi...
Relevance feedback is the retrieval task where the system is given not only an information need, but...
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation...
Rocchio\u27s relevance feedback model is a classic query expansion method and it has been shown to b...
This thesis compares four relevance feedback methods. The Rocchio and Ide dec-hi algorithms for the ...
Abstract. Relevance feedback algorithm is proposed to be an effective way to improve the precision o...
Pseudo relevance feedback is empirically known as a useful method for enhancing retrieval performanc...
We propose a relative relevance feedback method for image retrieval systems. Relevance feedback is a...
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms...
ABSTRAKSI: Peningkatan jumlah informasi digital yang terus bertambah saat ini menyebabkan kebutuhan ...
In the area of information retrieval the concept of relevance feedback is used to provide high relev...
In this paper, we propose a pseudo-relevance feedback approach based on linear operators: vector spa...
Pseudo relevance feedback (PRF) is one of effective prac-tices in Information Retrieval. In particul...
In this paper, we report our experiments in the TREC 2009 Million Query Track. Our first line of stu...