Context Vector Machine for Information Retrieval
Authors
V. Khatavkar, P. Kulkarni
Corresponding Author
V. Khatavkar
Available Online December 2016.
- 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/).
Cite this article
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 -