We are designing an App for Google Android which would help people to manage their food storage better. The project is curretly in progress. More details about the project can be found at the Project Website
Standard User Centered methods were used to evaluate the tagging feature in OneNote. There were 4 students working on the project for 3 months. The client contact was a personnel from Microsoft UX research team.
In this project four of my peers and I did Contextual inquiry and strategic planning of an information process involving over 100 employees within the organization. Elements of our recommendations have already been implemented.
Abstract: Recommendation systems for Social networks are different from other kinds of systems, since the item recommended here are rational human beings rather than goods. Thus, the Social factor has to be accounted for when making a recommendation. In this paper, I have used a hybrid of Content and Collaborative filtering recommender algorithm to recommend new friends to a user in a Social network. Various social attributes are considered and weighted accordingly to determine the Strength of ties between two users, and based on this, recommendations are generated. is currently in progress.
Abstract: In a decentralized P2P network there is no central body which regulates the actions and stores the reputation of the users. Trust plays a very important role when one is looking to download good content. The reputation system design proposed in this paper uses the social network property to determine the trust factor and calculate a relative reputation of every user in the network to a particular user.
You can view my Illustrator, Photoshop and Indesign skills at my Scribd account