Context Vector Machine for Information Retrieval

被引：0
|
作者：
Khatavkar, V. [1 ]
Kulkarni, P. [1 ]
机构：
[1] Coll Engn, Dept Comp Engn & Informat Technol, Pune, Maharashtra, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING 2016 (ICCASP 2016) | 2017年 / 137卷
关键词：
Information Retrieval; Context; Context Vector; Document Clustering; Document Classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：375 / 379
页数：5
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