Utilizing Support Vector Machines for Efficient and Intelligent Data Retrieval

Abstract

The information access is the wealth of material that can be retrieved from it; it has developed to provide the main methods or
tactics for looking things up online. A search engine is now the de facto standard for locating data on the Internet. Numerous
opportunities emerge at various stages where methods may be explored for constructing the effective information retrieval.
Support vector machine (SVM) level identification and online document classification are the focus of the current research. The
goal of this research is to provide a framework for smart and efficient retrieval. A paradigm for intelligent and efficient retrieval
is proposed in this study. The model’s stated goal was to identify the critical success criteria for intelligent, efficient retrieval. The
goal of the suggested model is to bring together all the different perspectives on information retrieval in order to build a comprehensive theory that can be seen as the foundation of any system. Mapped onto a higher dimensional space using functions,
this study examines the use of Support Vector Machine for.