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The investigation of the browsing behavior of users provides usefulinformation to optimize web site design, web browser design, search enginesofferings, and online advertisement. This has been a topic of active researchsince the Web started and a large body of work exists. However, new onlineservices as well as advances in Web and mobile technologies clearly changed themeaning behind "browsing the Web" and require a fresh look at the problem andresearch, specifically in respect to whether the used models are stillappropriate. Platforms such as YouTube, Netflix or last.fm have started toreplace the traditional media channels (cinema, television, radio) and mediadistribution formats (CD, DVD, Blu-ray). Social networks (e.g., Facebook) andplatforms for browser games attracted whole new, particularly less tech-savvyaudiences. Furthermore, advances in mobile technologies and devices madebrowsing "on-the-move" the norm and changed the user behavior as in the mobilecase browsing is often being influenced by the user's location and context inthe physical world. Commonly used datasets, such as web server access logs orsearch engines transaction logs, are inherently not capable of capturing thebrowsing behavior of users in all these facets. DOBBS (DERI Online BehaviorStudy) is an effort to create such a dataset in a non-intrusive, completelyanonymous and privacy-preserving way. To this end, DOBBS provides a browseradd-on that users can install, which keeps track of their browsing behavior(e.g., how much time they spent on the Web, how long they stay on a website,how often they visit a website, how they use their browser, etc.). In thispaper, we outline the motivation behind DOBBS, describe the add-on and captureddata in detail, and present some first results to highlight the strengths ofDOBBS.

DOBBS: Towards a Comprehensive Dataset to Study the Browsing Behavior of Online Users