XML information retrieval (XML-IR) systems utilize the logical structure of XML documents for retrieving relevant elements. From a practical point of view, displaying the search results of XML-IR systems is important to achieve. When we search XML documents that are constructed by marking up documents originally composed of pages, such as scholarly articles or books, we would like result elemen...

Markov Models have been widely used for predicting next Web-page from the users’ navigational behavior recorded in the Web-log. This usage-based technique can be combined with the structural properties of the Web-pages to achieve better prediction accuracy. This paper proposes one of the pre-fetching techniques relying both on Markov Model and Ranking which considers the structural properties o...

We introduce a new framework for web page ranking—reinforcement ranking—that improves the stability and accuracy of Page Rank while eliminating the need for computing the stationary distribution of random walks. Instead of relying on teleportation to ensure a well defined Markov chain, we develop a reverse-time reinforcement learning framework that determines web page authority based on the sol...

As the use of web is increasing more day by day, the web users get easily lost in the web’s rich hyper structure. The main aim of the owner of the website is to give the relevant information according their needs to the users. We explained the Web mining is used to categorize users and pages by analyzing user’s behavior, the content of pages and then describe Web Structure mining. This paper in...

A standard model for sponsored search comprises of ranking ads by their expected revenue, that is, the product of their bid price and estimated click-through rate (CTR). In this work, we introduce two complementary use cases for ranking ads at an online classifieds site and aim to optimize a ranking formula which extends the traditional one. First, we address the task of ranking ads on the sear...

A survey of various link analysis and clustering algorithms such as Page Rank, Hyperlink-Induced Topic Search, Weighted Page Rank based on Visit of Links K-Means, Fuzzy K-Means. Ranking algorithms illustrated, Weighted Page Rank is more efficient than Hyperlink-induced Topic Search Whereas clustering algorithms has described Fuzzy Soft, Rough K-Means is a mixture of Rough K-Means and fuzzy soft...

This paper describes a path-based method to use the multi-step navigation information discovered from website structures for web page ranking. Use of hyperlinks to enhance page ranking has been widely studied. The underlying assumption is that hyperlinks convey recommendations. Although this technique has been used successfully in global web search, it produces poor results for website search, ...

Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about uncertainty and multi-agent systems. When the set of agents and the set of alternatives coincide, we get the so-called reputation systems setting. Famous types of reputation systems include page ranking in the context of search en...