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A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge

Tina D’abreo, Anand Khandare, Prachi Janrao. Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Tina D’abreo, Anand Khandare, Prachi Janrao
10.5120/ijais2016451617
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  1. Tina Dabreo, Anand Khandare and Prachi Janrao. A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge. International Journal of Applied Information Systems 11(6):12-15, November 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451617,
    	author = "Tina Dabreo and Anand Khandare and Prachi Janrao",
    	title = "A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "November 2016",
    	volume = 11,
    	number = 6,
    	month = "Nov",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "12-15",
    	numpages = 4,
    	url = "http://www.ijais.org/archives/volume11/number6/946-2016451617",
    	doi = "10.5120/ijais2016451617",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

Web Pages which are recommended by the normal web page recommendation system are listed and are not clustered. The web search is based on keyword. The search engine does not understand the meaning of the searched query as it does not have a background domain knowledge of the searched query. The earlier search engine designed clustered the web pages according to static clusters formed [2]. As static clustering, faced some drawbacks of mapping the Web pages, there was a need to find the solution for the same. This paper presents a solution to form the clusters dynamically considering the domains for efficient clustering.

Reference

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Keywords

Data mining, Semantic-based Mining, Recommendation Systems, Clustering Techniques