Context Vector Machine for Information Retrieval

DOI

10.2991/iccasp-16.2017.57How to use a DOI?

Keywords

Information Retrieval; Context; Context Vector; Document Clustering; Document Classification

Abstract

Information Retrieval (IR) is the need of todays digital world. It is important for a user to get appropriate document from the sets of documents. In order to do so, researchers are working in the domain of IR mainly on the concepts like Document Clustering and classification, Ontology of document, Thematic of document, Concept of document, Context of document, etc. The research work proposes necessity of Context Vector Machine

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - V. Khatavkar
AU  - P. Kulkarni
PY  - 2016/12
DA  - 2016/12
TI  - Context Vector Machine for Information Retrieval
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 374
EP  - 378
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.57
DO  - 10.2991/iccasp-16.2017.57
ID  - Khatavkar2016/12
ER  -