The key technology for accessing relevant data from
large volume is Information retrieval. Information retrieval
technology gives assurance to access large data. The major
challenge of information retrieval is to find and manage all
existing information in the web. So it became the elementary
skill behind web search tool. Knowing the relevant information
at the time of requirement is important for people. They
considered information as one of the most valuable and strategic
goods. But the availability of information nowadays increases
tremendously, so this cause information oversupplies and results
in time-consumption and difficulty in accessing relevant. Aimed
to overcome these difficulties in the beginning itself several
automated tools are used for searching information relevant to
the user needs.
Anupama Prasanth : holds a Master’s degree in Computer
Applications from Bharatiyar University, Coimbatore and is
currently pursuing her PhD from Karpagam University Coimbatore.
Dr. M. Hemalatha : completed M.Sc., M.C.A., M. Phil., Ph.D (Ph.D,
Mother Terasa women's University, Kodaikanal). She is Professor
& Head and guiding Ph.D Scholars in Department of Computer
Science at Karpagam University, Coimbatore. Twelve years of
experience in teaching and published more than hundred papers
in International Journals and also presented more than eighty
papers in various national and international conferences. She
received best researcher award in the year 2012 from Karpagam
University. Her research areas include Data Mining, Image
Processing, Computer Networks, Cloud Computing, Software
Engineering, Bioinformatics and Neural Network. She is a reviewer
in several National and International Journals.
Information Retrieval
Feedback Mechanism
term Frequency
Inward Link
None of the search tools integrate the techniques relevance
feedback, term frequency and inward link for relevance
calculation of web pages. The quality in indexing web
documents has an awesome effect on retrieval.
Undoubtedly the incorporation of these techniques by a
search tool will significantly dig over irrelevant documents
and ranked relevant documents in the top. An efficient
information retrieval algorithm should compatible with
international standards and able to meet out all the
challenges efficiently. This study is limited to an analysis
of some of the major search tools and its methodologies, to
find out some features which can incorporate to the IR
system to improve its efficiency. As future work we can
do a study on how we can improve the information
retrieval process by considering different dimensions and
develop a system.
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