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http://dbpedia.org/resource/Click_tracking
http://dbpedia.org/ontology/abstract Click tracking is when user click behaviorClick tracking is when user click behavior or user navigational behavior is collected in order to derive insights and fingerprint users. Click behavior is commonly tracked using server logs which encompass click paths and clicked URLs (Uniform Resource Locator). This log is often presented in a standard format including information like the hostname, date, and username. However, as technology develops, new software allows for in depth analysis of user click behavior using hypervideo tools. Given that the internet can be considered a risky environment, research strives to understand why users click certain links and not others. Research has also been conducted to explore the user experience of privacy with making user personal identification information individually anonymized and improving how data collection consent forms are written and structured. Click tracking is relevant in several industries including Human-Computer Interaction (HCI), software engineering, and advertising. Email tracking, link tracking, web analytics, and user research are also related concepts and applications of click tracking. A common utilization of click data from click tracking is to improve results' positions from search engines to make their order more relevant to users' needs. Click tracking employs many modern techniques such as machine learning and data mining. such as machine learning and data mining.
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rdfs:comment Click tracking is when user click behaviorClick tracking is when user click behavior or user navigational behavior is collected in order to derive insights and fingerprint users. Click behavior is commonly tracked using server logs which encompass click paths and clicked URLs (Uniform Resource Locator). This log is often presented in a standard format including information like the hostname, date, and username. However, as technology develops, new software allows for in depth analysis of user click behavior using hypervideo tools. Given that the internet can be considered a risky environment, research strives to understand why users click certain links and not others. Research has also been conducted to explore the user experience of privacy with making user personal identification information individually anonymized and improvingtion individually anonymized and improving
rdfs:label Click tracking
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