A VECTOR SPACE MODEL FOR INFORMATION RETRIEVAL: A MATLAB APPROACH
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 2
Abstract
By and large, three classic framework models have been used in the process of retrieving information: Boolean, Vector Space and Probabilistic. Boolean model is a light weight model which matches the query with precise semantics. Because of its boolean nature, results may be tides, missing partial matching, while on the contrary, vector space model, considering term-frequency, inverse document frequency measures, achieves utmost relevancy in retrieving documents in information retrieval. This paper implements and discusses the issues of information retrieval system with vector space model using MATLAB on Cranfield data collection of aerodynamics domain.
Authors and Affiliations
A. B. Manwar , Hemant S. Mahalle , K. D. Chinchkhede , Dr. Vinay Chavan
Keywords
Related Articles
- EP ID EP135134
- DOI -
- Views 117
- Downloads 0
PROPERTIES AND APPROACH OF CRYPTOGRAPHIC HASH ALGORITHMS
The importance of hash functions for protecting the authenticity of information is demonstrated. Applications include integrity protection, conventional message authentication and digital signatures. An overview is given...
INTEGRATION OF ICT AND E-GOVERNANCE IN RAJASTHAN
IT (Information Technology) is a term which is basically used to actions and technologies allied with the use of computer and communication resources. It was treated as an electronic technique to storage, retrieval and p...
ADAPTIVE PROGRESSIVE CODING FOR COMPRESSION OF BI-LEVEL VIDEO IMAGES
In video compression, progressive coding plays an important role in terms of coding efficiency and error resilience and has been an attractive research topic since the standardization of H.264/AVC. In this paper, we prop...
Video Indexing Based On Time Frames
The Indexing of video based on time frame helps to navigate to the particular time frame in any video, The indexing helps to reduce the time of watching the complete video.
An Analysis on Density Based Clustering of Multi Dimensional Spatial Data
Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a highly demanding field because huge amounts of spatial data have been collected in various applications ranging from geo-s...