We developed an interactive products recommender system based on a force-directed layout and fish-eye view. This system provides a search tool and a critiquing interface to query items intuitively. The link below gives you access to the desktop demo but there is also a mobile version of this recommender system.
|We have developed a music group recommender system named GroupFun, which is a Facebook application that recommends music for groups of users for events, such as a graduation party.
The functions of GroupFun mainly include: 1) group management, 2) music recommendation.
Users are able to create a group, invite their friends to group, and join other groups. We are evaluating recommendation algorithms and user interfaces on this application.
|Given their respective strengths, a Hybrid of Example-Critiquing (EC) and Dynamic-Critiquing (DC) was developed to combine them together on the same screen, so that users can not only specify their own critiques if necessary with EC, but also obtain the knowledge of remaining recommendation opportunities and pick the suggested critiques by DC if one of them matches their desires.|