JOURNAL ARTICLE

Information Retrieval System Assigning Context to Documents by Relevance Feedback

Narina ThakurDeepti MehrotraAbhay Bansal

Year: 2012 Journal:   International Journal of Computer Applications Vol: 58 (20)Pages: 37-47

Abstract

In this paper we have proposed user feedback driven Information retrieval model.The proposed model assigns weights to the retrieved documents based on its context.The documents are re-ranked based on the user profile and his feedback.Proposed Information retrieval system uses vector space model and expert system.Need for user profile and relevance of information while searching and extracting information, from information retrieval system is highlighted.

Keywords:
Computer science Relevance (law) Relevance feedback Information retrieval Context (archaeology) Data science Artificial intelligence Image retrieval

Metrics

3
Cited By
0.76
FWCI (Field Weighted Citation Impact)
11
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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