COMPARATIVE ANALYSIS OF RELATIVE AND EXACT SEARCH FOR WEB INFORMATION RETRIEVAL

Yagnesh D. Dave, Bijendra S. Agrawal

Abstract: The volume of data on web repository is huge. To get specific and precise information for the web repository is a big challenge. Existing Information Retrieval (IR) techniques, given by contemporary researchers, are very useful in field of IR. Here, the authors have implemented and tested two of the techniques from the fields of IR. The authors dealt with Relative Search and Exact Search techniques one by one. Initially relative search tested on web repository data using web mining tool and then its results are analyzed. In the same manner, the exact search technique of IR tested on web repository data and the results are measured. The researchers have experienced the significant importance on exact search and relative search. The focused of the research paper is to retrieve relevant information from the web information repository. With the use of two searching criteria these can be done. With the use of the suggested methods the searchers may retrieve a relevant web data in a fewer time.

Keywords: Web data Mining, Exact Search, Relative Search, PR, TM, CD, VSM and TASE

DOI: https://doi.org/10.15623/ijret.2015.0409025