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Information Retrieval System with Pseudo Relevance Feedback using Rocchio algorithm
http://hdl.handle.net/20.500.12678/0000005110
a136995d-ab6c-44bb-81e7-75d8227e155c
3f558fea-2cd9-4703-95ed-1ccaae31dbb4
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Publication type | Article | |||||
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Upload type | Publication | |||||
Title | ||||||
Information Retrieval System with Pseudo Relevance Feedback using Rocchio algorithm | ||||||
en | ||||||
Publication date | 2017-12-27 | |||||
Authors | ||||||
Win, Zin Mar | ||||||
Wai, Ei Nyein Chan | ||||||
Description | ||||||
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 with precision and recall ofinformation retrieval results | ||||||
Journal articles | ||||||
Eighth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |