Data Design For Personalization: Current Challenges And Emerging Opportunities

There are several definitions of personalization but one that relates specifically to internet technologies is the following: Personalization technology enables the dynamic insertion, customization or suggestion of content in any format that is relevant to the individual user, based on the user's implicit behavior and preferences, and explicitly given details(1).Personalization is central to most Internet experiences. Personalization is a data-driven process, whether the data are explicitly gathered (e.g., by asking people to fill out forms) or implicitly (e.g. through analysis of behavioral data).It is clear that designing for effective personalization poses interesting engineering and computer science challenges. However, personalization is also a user experience issue. We believe that encouraging dialogue and collaboration between data mining experts, content providers, and user-focused researchers will offer gains in the area of personalization for search and for other domains. This is increasingly the case as devices enable more forms of data to be gathered, are always on/connected and are always with users. This workshop brings researchers interested in the area of personalization to share their research, explore possibilities for collaboration, and work on defining an agenda for Data Design for Personalization.