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A Web view engine is a tool that changes the way web page contents are presented in a web browser, depending on the user interests i.e., depending on the user context. These changes typically comprise hiding, lowlighting, or making less visible web page contents that are not relevant to the user context, and highlighting relevant contents. Purpose The ultimate purpose of a web view engine is to facilitate the process of extracting and understanding the information relevant to the user in a web page. Scanning through a whole web page looking for certain contents is a manual, error-prone, tedious, time-consuming, and cognitive-demanding process. With a web view engine this process can be partly automatized. Thus, a user browsing the web with a web view engine can get to the information she/he is looking for more efficiently. User Context A user context typically consists of a list of Keywords like the search keywords entered in a web search engine. These keywords can be for instance dynamically entered by the user or they can be predefined in a set of user preferences. History The first web view engine was launched by browseye in August 2011. Web Search Engines vs. Web view Engines A web search engine is designed to search for information on the World Wide Web and FTP servers. The search results are generally presented in a list of results and are often called hits. When a user clicks on a hit, she/he accesses the corresponding result web page. At this point the web search engine service is considered to be over and the responsibility of finding the desired information in the result web page entirely falls on the user side. A web view engine is designed to assist the user in finding the desired information in the result web page, precisely at the point when the web search engine is no longer able to do so. The web view engine typically interprets the search keywords as the user context and uses this information in order to render a personalized version of the result web page. This personalized version enables the user to focus and read only the parts of the web page that most likely contain relevant information, thus saving time and making the information search process more reliable and friendly. Therefore, web search and web view engines are complementary and can be used in combination to enrich the Internet user experience.
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