Periodicity: Bi Annual.
Impact Factor:
SJIF:4.78 & GIF:0.428
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJWT provides online manuscript tracking system.

Every issue of Journal of IJWT is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJWT special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJWT website. For complete procedure, contact us at

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 3 Issue 2 Date of Publication:   December 2014

Refining Serp - Search engine result page for Enhanced Information Retrieval


Page(s):   34-39 ISSN:   2278-2397
DOI:   10.20894/IJWT. Publisher:   Integrated Intelligent Research (IIR)

With the exponential growth of the Internet, it has become more and more difficult to find information. Web search services such as AltaVista, InfoSeek, and MSN Web Search were introduced to help people find information on the web. A web search engine is designed to search for information on the World Wide Web. It works by storing information about many web pages, which they retrieve from the html itself. The search results are generally presented in a list of results and are often called hits. A search engine results page (SERP), is the listing of web pages returned by a search engine in response to a keyword query. The results normally include a list of web pages with titles, a link to the page, and a short description showing where the keywords have matched content within the page. A SERP may refer to a single page of links returned, or to the set of all links returned for a search query. Such a result page may not always satisfy the userís needs as there are wide list of result ranked by relevance to the user entered query. Moreover user tends to restrict their sightings to minimum number of result pages as they satisfy their needs thus prohibiting the usage of entire search result. Our aim is to let the user, refine the result page in such a way that all the result pages are covered thus providing various information and views relevant to the query. We design an algorithm that allows the user in refining the search result as per their needs. This is done by grouping the result page in such a way that helps the user in choosing the document according to the categorization.