Open AccessPersonalized Medical Information Filtering using Evidence Phrases
Author(s) -
Mu. Annalakshmi,
A. Padmapriya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j1212.0881019
Subject(s) - personalization , relevance (law) , computer science , information retrieval , field (mathematics) , task (project management) , world wide web , rank (graph theory) , medical information , personalized search , search engine , mathematics , management , combinatorics , political science , pure mathematics , law , economics
Finding the required information in the field of medicine from the World Wide Web has been a challenging task for the users since large number of medical research documents are added to it every day. Personalization of web search would help the professionals or beginners in medicinal field in retrieving the relevant information. The proposed method gathers the users’ browsing patterns from the browser and builds evidence phrases based on factors like visit count, bookmarks or downloads. These evidence phrases determine the rank of the websites in the search results. The proposed method is evaluated with the relevance data collected from allied medical professionals. Evaluation shows that the proposed method ranks the user preferred pages in the top of the search results. It helps the users from the field of medicine to find their information needs more quickly without surfing all the search results of the query.