Fuzzy Latent Semantic Query Expansion Model for Enhancing Information Retrieval

International Journal of Modern Education and Computer Science
doi 10.5815/ijmecs.2016.02.06
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MECS Publisher

Related search

The Effectiveness of Query Expansion for Distributed Information Retrieval

2001English

Research on Query Disambiguation and Expansion for Cross-Language Information Retrieval

Communications of the IBIMA
2010English

Content-Based Image Retrieval Improved by Incorporating Semantic Annotation via Query Expansion

International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
2015English

Ranks Aggregation and Semantic Genetic Approach Based Hybrid Model for Query Expansion

International Journal of Computational Intelligence Systems
Computational MathematicsComputer Science
2017English

Ontology-Based Query Expansion for Arabic Text Retrieval

International Journal of Advanced Computer Science and Applications
Computer Science
2016English

Cross Language Information Retrieval Using Selective Documents Technique and Query Expansion

HELIX
2018English

MeSH-based Biomedical Information Semantic Retrieval Model

The Open Automation and Control Systems Journal
2015English

Leveraging Semantic Resources in Diversified Query Expansion

World Wide Web
HardwareComputer NetworksSoftwareArchitectureCommunications
2017English

Toward a Semantic Granularity Model for Domain-Specific Information Retrieval

ACM Transactions on Information Systems
Computer Science ApplicationsAccountingManagementInformation SystemsBusiness
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy