Abstract
The development of search engines is taking at a very fast rate. A lot of algorithms have been tried and tested. But, still the people are not getting precise results. Social networking sites are developing at tremendous rate and their growth has given birth to the new interesting problems. The social networking sites use semantic data to enhance the results. This provides us with a new perspective on how to improve the quality of information retrieval. As we are aware, many techniques of text classification are based on TFIDF algorithm. Term weighting has a significant role in classifying a text document. In this paper, firstly, we are extending the queries by keyword+tags instead of keywords only. In addition to this, secondly, we have developed a new ranking algorithm (JEKS algorithm) based on semantic tags from user feedback that uses CiteUlike data. The algorithm enhances the already existing semantic web by using the weighted IDF feature of the TFIDF algorithm. The suggested algorithm provides a better ranking than Google and can be viewed as a semantic web service in the domain of academics.
Highlights
A lot of information is available on the Internet
Many popular Web services like Delicious, Citeulike and flickr.com rely on folksonomies (Gautam and Kumar, 2012).Some websites such as CiteUlike (Research Paper Recommender), Delicious, Flickr, Furl (File Uniform Resource Locators), Blinklist, Diigo, Otavo, Stumbleupon, Blummy, and Folkd etc. which contain these tag information
We have analyzed some existing ranking methods and proposed a new algorithm based on the previous methods
Summary
A lot of information is available on the Internet. Search engines remain as the primary infrastructure for Information Retrieval. The relevance of the result-sets is not as desired by the user. Many popular Web services like Delicious, Citeulike and flickr.com rely on folksonomies (Gautam and Kumar, 2012).Some websites such as CiteUlike (Research Paper Recommender), Delicious (online bookmarking), Flickr (online photo management and sharing application), Furl (File Uniform Resource Locators), Blinklist (links saver), Diigo (collect and organize anything e.g. bookmarks, highlights, notes, sceenshots etc.), Otavo (collaborative web search), Stumbleupon (discovery engine), Blummy (tool for quick access to favorite web services), and Folkd (saves bookmarks and links online) etc. Researches based on social-bookmarking have become increasingly popular, which lets users specify their keywords of interest, or tags on web resources. Social-tagging systems allow users to annotate resources with free-form tags. The resources can be of any type, such as Web pages (e.g., delicious), videos (e.g., YouTube), photographs (e.g., Flickr), academic papers (e.g., CiteULIke), and so on
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