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DroidMeter: A Measurement Tool to Study Embedded Web Pages
Traditional Web browsing involves typing a URL on a browser and loading ...
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Web Page Categorization Using Artificial Neural Networks
Web page categorization is one of the challenging tasks in the world of ...
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Online Algorithms for Estimating Change Rates of Web Pages
For providing quick and accurate search results, a search engine maintai...
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What Is a Web Crawler and How Does It Work?
A crawler is a computer program that automatically searches documents on...
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XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting
IP geolocation aims at locating the geographical position of Internet de...
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IP Geolocation Underestimates Regressive Economic Patterns in MOOC Usage
Massive open online courses (MOOCs) promise to make rigorous higher educ...
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An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Optimization is commonly employed to determine the content of web pages,...
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Mapping Web Pages by Internet Protocol (IP) addresses: Analyzing Spatial and Temporal Characteristics of Web Search Engine Results
Internet Protocol (IP) addresses are frequently used as a method of locating web users by researchers in several different fields. However, there are competing reports concerning the accuracy of those locations, and little research has been done in manually comparing the IP geolocation databases and web page geographic information. This paper categorized web page from the Yahoo search engine into twelve categories, ranging from 'Blog' and 'News' to 'Education' and 'Governmental'. Then we manually compared the mailing or street address of the web page's content creator with the geolocation results by the given IP address. We introduced a cartographic design method by creating kernel density maps for visualizing the information landscape of web pages associated with specific keywords.
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