Open AccessWeb page recommendation system using bat optimization and weighted support vector machine algorithm for health care service
Author(s) -
S. Anusuya,
N. M. Mallika
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns2.6333
Subject(s) - computer science , web page , world wide web , identification (biology) , web service , construct (python library) , ontology , web server , algorithm , session (web analytics) , support vector machine , user interface , interface (matter) , information retrieval , the internet , machine learning , philosophy , botany , epistemology , bubble , maximum bubble pressure method , parallel computing , biology , programming language , operating system
Web-page recommendation commands a predominant part in smartweb systems. Discovery of meaningfulinformation from web utilization data and improvedrepresentation of knowledge for resourcefulweb-page recommendations are important and a huge challenge. The availabletechniques faces problems with information over load when the users tryretrieving the exact information that end users require. In addition,it also experiences issues with meaningful semantic information and thereforeit does not yield satisfactory web based services for the end users. To deal with the above statedissues, in this research work, BAOs (Bat Agent Optimizations) and WSVMs (Weighted Support Vector Machines) are combined to form BAO+WSVM algorithm for web page recommendations that are effective and useful. The experiments are carried out on the health records of COPDs (chronic obstructive pulmonary diseases) collected from websites of government hospitals. Attention has been paid on BAO+WSVM to providetheoptimal webpages for patients. User bat agent forms the interface between the user and the system providing an active environment for the users. At first, web log pre-processing is carried out with the help of data cleaning, user identification, and session identification. Later, Semantic information extractions are carried out applying DOWLs (Domain OntologyWeb language) which helps construct the ontology associated with a website utilizing its structure.