نتایج جستجو برای: search engine result page enhancement

تعداد نتایج: 1151683  

Journal: :Austr. J. Intelligent Information Processing Systems 2006
Andrew Turpin Falk Scholer Bodo Billerbeck Larry Abel

Nearly every web search engine presents its results in an identical format: a ranked list of web page summaries. Each summary comprises a title; some sentence fragments usually containing words used in the query; and URL information about the page. In this study we present data from our pilot experiments with eye tracking equipment to examine how users interact with this standard list of result...

2012
DIVAKAR YADAV AK SHARMA SONIA SANCHEZ-CUADRADO JORGE MORATO

World Wide Web (WWW) is a huge repository of interlinked hypertext documents known as web pages. Users access these hypertext documents via Internet. Since its inception in 1990, WWW has become many folds in size, and now it contains more than 50 billion publicly accessible web documents distributed all over the world on thousands of web servers and still growing at exponential rate. It is very...

2012
Thomas Beckers Norbert Fuhr

Tasks in web search are often rather simple, e.g. navigating to an already known web page or looking up a fact. However, tasks in other domains are usually more complex and diverse. Thus, we discuss various search modes of tasks and how they might be supported by functions of a search system. We give examples of the required search functions of different search modes and describe the implicatio...

2015
Dharmender Kumar

Page Rank is extensively used for ranking web pages in order of relevance by mostly all search engines world-wide. There are many algorithms for page ranking such as Google Page Rank algorithm, Hyperlink-Induced Topic Search (HITS) algorithm etc. Some search engine uses link structure based page ranking algorithm while some uses content based. The page ranking algorithm reflects the popularity ...

Journal: :CoRR 2013
Sukanta Sinha Rana Dattagupta Debajyoti Mukhopadhyay

Everyone knows that thousand of words are represented by a single image. As a result image search has become a very popular mechanism for the Web-searchers. Image search means, the search results are produced by the search engine should be a set of images along with their Web-page Unified Resource Locator (URL). Now Web-searcher can perform two types of image search, they are “Text to Image” an...

Journal: :JASIST 2008
Lori Lorigo Maya Haridasan Hrönn Brynjarsdóttir Ling Xia Thorsten Joachims Geri Gay Laura A. Granka Fabio Pellacini Bing Pan

and the third study is described for the first time in this article. These studies reveal how users view the ranked results on a search engine results page (SERP), the relationship between the search result abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all three studies th...

2016
FERNANDO DIAZ QI GUO

Search result examination is an important part of searching. High page load latency for landing pages (clicked search results) can reduce the efficiency of the search process. Proactively prefetching landing pages in advance of clickthrough can save searchers valuable time. However, prefetching consumes resources (primarily bandwidth and battery) that are wasted unless the prefetched results ar...

Journal: :JCIT 2008
Yajun Du Haiming Li

Intelligence of humankind mostly includes five parts: the observing ability, the memory ability, the practice ability, the thought ability, the imagining ability, etc.. In this paper, an intelligent behaviour, which people search the book in library, is discussed. By contrasting in references of book and linkage of Web pages, we proposed that the process of searching information on Internet is ...

2002
Alberto O. Mendelzon Davood Rafiei

Ordering search results collected from multiple sources is a challenge to metasearch engines. We present an “autonomous” ranking method, meaning one that does not depend on the individual rankings returned by the engines participating in the search. Instead, it applies our TOPIC method for evaluating the reputation of a web page on a topic [7, 6] to the problem of ranking the results to a query...

2010
S. Sendhilkumar T. V. Geetha

Existing personalized web search systems does not take into account relevant pages that go unvisited by the user which might be direct answers to the user’s information need. In addition, pages in the result set though not directly relevant to the user’s information need might provide a link to relevant pages. Such links can be identified only by performing semantic analysis. This paper is aime...

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