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(Added Links to Search Algorithms and Web 3.0)
 
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Browsing habits can be defined as the paths, patterns, and actions that a user takes while using the Internet. This includes searches on [[Google]], behaviors on [[Facebook]], and any other activity online.
 
Browsing habits can be defined as the paths, patterns, and actions that a user takes while using the Internet. This includes searches on [[Google]], behaviors on [[Facebook]], and any other activity online.
   
The purpose of monitoring users' browsing habits is to try to [[Data Tracking|gather data]] on their [[interests]], with the purpose of serving [[Advertising|advertisements]], as well as following the user's path through a website, again with the purpose of [[Advertising|advertisement]] placement. The tracking of habits is usually done through [[Data Collective Accounts]].
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The purpose of monitoring users' browsing habits is to try to [[Data Tracking|gather data]] on their [[interests]], with the purpose of serving [[Advertising|advertisements]], as well as following the user's path through a website, again with the purpose of [[Advertising|advertisement]] placement. The tracking of habits is usually done through [[Data Collective Accounts]]. [http://group11hci325.wikia.com/wiki/Search_Algorithms Search algorithms] can be customized while monitoring a Users Browsing Habits, these help personalize a Users Experience on the web. Search Engines have evolved to use personalized Machine Learning Algorithms with [[Artificial Intelligence]] in order to create Web Browsers which are accustomed to a Users Browsing Habits.

Latest revision as of 00:47, April 16, 2018

Browsing habits can be defined as the paths, patterns, and actions that a user takes while using the Internet. This includes searches on Google, behaviors on Facebook, and any other activity online.

The purpose of monitoring users' browsing habits is to try to gather data on their interests, with the purpose of serving advertisements, as well as following the user's path through a website, again with the purpose of advertisement placement. The tracking of habits is usually done through Data Collective Accounts. Search algorithms can be customized while monitoring a Users Browsing Habits, these help personalize a Users Experience on the web. Search Engines have evolved to use personalized Machine Learning Algorithms with Artificial Intelligence in order to create Web Browsers which are accustomed to a Users Browsing Habits.

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