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New Trend In the Market  The company started in June 2012 , helps  advertisers  and media owners in following ways: For  advertisers - Detailed information regarding various media options - Media planning for non-traditional media For media owners - Listing of your media type - Helping showcase your unique media to our site visitors The Media Ant is co-founded by  Mayank Bidawatka ,  Samir Chaudhary  and  Mukesh Agarwal  and charges 15% commission on the media spends from the media owners.  Company works on new strategy of providing Media Solution to all the classes Rich , Upper Class , Upper Middle Class , Middle Class and Lower Class . Company Woks on following Media Buying Space : OOH SCREENS BILLS / TICKETS INNOVATIVE AMBIENT ONLINE TRANSIT SAMPLING MOBILE DATABASES AUDIO TV / CINEMA MAGAZINES Any Many More ..... The Media Ant Source :  http://www.themediaant.com/

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Due to the growth of WWW related technologies, the number of web sites on the Internet has increased rapidly, and human daily life is beginning to depend on such sites like shopping sites, official sites of enterprises, promotion sites of events and so on.   Each website has different types of information or content e.g. articles, blogs, newsletters, and training videos. These web sites contain a variety of content and complex link structures. Therefore it also requires an understanding of what content draws users attention and how users interact with that content. As content on any website is one of the most important element, we need to optimize content.   For content optimization we need some metrics to tell us how each aspect of the content performs. How does the content on the web site affect the traffic patterns? Does it lead users to the site?   Is there content on the site that performs better than we expect it to?   Web site administrators, who are constantly required to

Web search engines work by storing information about many web pages, which they retrieve from the Web itself. Crawler-based search engines have three major elements. First is the spider, also called the crawler. The spider visits a web page, reads it, and then follows links to other pages within the site [1]. This is what it means when someone refers to a site being "spidered" or "crawled". The spider returns to the site on a regular basis, such as every month or two, to look for changes. Everything the spider finds goes into the second part of the search engine, the index. The index, sometimes called the catalogue, is like a giant book containing a copy of every web page that the spider finds. If a web page changes, then this book is updated with the new information. Sometimes it can take a while for new pages or changes that the spider finds to be added to the index. Thus, a web page may have been "spidered" but not yet "indexed". Until

Acronyms and Abbreviations CSV: Comma Separated Values. DARPA: Defense Advanced Research Projects Agency.  EOI: Effort of Improvement. 4.       ISP: Internet Service Provider. 5.       NIST: National Institute of Standards and Technology 6.       PEOU: Perceived Ease of Usefulness. PU: Perceived Usefulness. RBS: Rule Based System. SEO: Search Engine Optimization. SERP: Search Engine Result Pages. SU: System Usage. TAM: Technology Acceptance Model. Text Retrieval Conference UDA: User Dependency Algorithm. UI: User Intention. URL: Uniform Resource Locator. VDC: Vicious Dependency Cycle. WG: Web Graph.

                                 Evolution of Modern WebIR In 1995, everything changed with the creation of the web. Web objects are the largest collection of information ever created by humans, and this collection changes continuously when new objects are created and old ones removed. In order to adapt to this changed scenario, a new discipline has been created: Web Information Retrieval [1,2,3]. It uses some concepts of traditional IR, and introduces many innovative ones. Modern WebIR [4] is a discipline which has exploited some of the classical results of information retrieval, thereby developing innovative models of information access. A recent report showed that 80% of Web surfers discover new sites (that they visit) through search engines [4,5] (such as Ask, Google, MSN or Yahoo). 1.3.1 Types of Modern WebIR Information retrieval on the Web can be broadly classified into two technologies: 1. Question Answering Systems (QA): In information retrieval , question ans