We study the statistical properties of various directed networks using ranking of their nodes based on the dominant vectors of the Google matrix known as PageRank and CheiRank. On average PageRank orders nodes proportionally to a number of ingoing links, while CheiRank orders nodes proportionally to a number of outgoing links. In this way the ranking of nodes becomes two-dimensional that paves ...

Web search engines apply a variety of ranking signals to achieve user satisfaction, i.e., results pages that provide the best-possible results to the user. While these ranking signals implicitly consider credibility (e.g., by measuring popularity), explicit measures of credibility are not applied. In this chapter, credibility in Web search engines is discussed in a broad context: credibility as...

Previous research in Web search has mainly targeted performance of search engines from the user's point of view. Parameters such as precision, recall, and freshness of returned results were optimised. On the other hand, a provider of search services is rather interested in parameters like the number of queries processed versus the amount of resources used to process them. We focus on performanc...

Search engines usually offer a date restricted search on their advanced search pages. But determining the actual update of a web page is not without problems. We conduct a study testing date restricted queries on the search engines Google, Teoma and Yahoo!. We find that these searches fail to work properly in the examined engines. We discuss implications of this for further research and search ...

Searching the Internet effectively necessitates the use of contemporary software programs commonly known as "search engines" to locate desired and meaningful information. Knowing how to effectively and efficiently utilize such search engines is critical for effective and efficient knowledge-seeking activities by the practitioner. Three categories of search engines are described in this article ...

There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent search and retrieval engines. Current search engines are primarily passive instruments. Intelligent Agents can improve the pe...

General search engines often provide low precise results even for detailed queries. So there is a vital need to elicit useful information like keywords for search engines to provide acceptable results for user’s search queries. Although many methods have been proposed to show how to extract keywords automatically, all attempt to get a better recall, precision and other criteria which describe h...

Measuring the information retrieval effectiveness of World Wide Web search engines is costly because of human relevance judgments involved. However, both for business enterprises and people it is important to know the most effective Web search engines, since such search engines help their users find higher number of relevant Web pages with less effort. Furthermore, this information can be used ...

In this paper, we explore the capabilities of search engines for non-English languages. As a test case, we examine four languages: Russian, French, Hungarian and Hebrew. For each of these languages we test three general search engines: AltaVista, FAST and Google and some local search engines. Our results indicate that in most cases the general search engines ignore the special characteristics o...

Search engines, such as Google and Yahoo! Search, are more than just portals or information tools. In fact, they are agents of a transformation that is making the business environment more transparent, and thus, potentially more competitive. This new environment is creating opportunities and challenges for businesses of every stripe. In this paper, we explore the following topics: (1) what are ...