-The search engines, such as Google, Yahoo and Bing, provide a powerful information retrieval on the Web. A number of Web Mining algorithms, such as PageRank, Weighted PageRank and HITS, are commonly used to categorize and rank the search results. The motive behind this paper is to present and analyze the currently important algorithms for ranking of web pages such as PageRank and Weighted Page...

Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists according to their prototypicality. To calculate such a ranking, we use asymmetric similarity matrices obtained via co-occurrence analysis of artist names on web pages. We demonstrate our approach on a data set containin...

Ranking is an important subject in information retrieval, and a variety of techniques and algorithms have been developed to rank the retrieved documents and web pages for a given query. However, ranking is also a challenging task, since it is a dynamic problem, namely a user’s interest toward each query changes from time to time and it is difficult to accurately extract user interest over time....

Today, users expect a variety of digital libraries to be searchable from a single Web page. The German Vascoda project provides this service for dozens of information sources. Its ultimate goal is to provide search quality close to the ranking of a central database containing documents from all participating libraries. Currently, however, the Vascoda portal is based on a non-cooperative metasea...

In general, search engines are the most popular means of searching any kind of information from the Internet. Generally, keywords are given to the search engine and the Web database returns the documents containing specified keywords. In many situations, irrelevant results are given as results to the user query since different keywords are used in different forms in various documents. The devel...

We consider ranking and recommendation systems based on user feedback. We make a case for sharing the revenue generated by such systems with users as incentive to provide useful feedback. Our main contribution are mechanisms for ranking/recommendation which gives incentive for the users to provide useful feedback and is resistant to selfish/malicious behavior (click spam). The mechanisms are de...

We present a novel profile-based focused crawling system for dealing with the increasingly popular social media-sharing websites. In this system, we treat the user profiles as ranking criteria for guiding the crawling process. Furthermore, we divide a user’s profile into two parts, an internal part, which comes from the user’s own contribution, and an external part, which comes from the user’s ...

With the remarkable growth of information obtainable to end users through the web, search engines come to play ever a more significant role. The search engines sometimes give disappointing search results for lack of any classification of search. If we can somehow find the preference of user about the search result and rank pages according to that preference, the result will be more accurate to ...

Time plays important roles in Web search, because most Web pages contain time information and a lot of Web queries are time-related. However, traditional search engines such as Google have little consideration on the time information in Web pages. In particular, they do not take into account the time information of Web pages when ranking searching results. In this paper, we present a new timeaw...

Currently, the use of Search Engine Optimization (SEO) has become a necessity to achieve better ranking results from Engines known as Optimization, which is collection techniques for positioning site so that it can be indexed by search engines and get position in engine results—result Pages (SERPs). Based on Globalstatistics data, there been an increase internet users Indonesia who products thr...