DynamicLens: A Dynamic User-Interface for a Meta-Recommendation System

Recommendation systems help users find items of interest. Meta-recommendation systems provide users with personalized control over the combination of recommendation data from multiple information sources. In the process, they provide users with more helpful recommendations by allowing users to indicate how important each parameter is in their decision process, and how data should be weighted during recommendation generation. Most current meta-recommendation systems require the submission of large, form-based queries prior to the receipt of recommendations. Such systems make it difficult for a user to conclude what effect a given requirement has on the overall recommendations. This paper considers the construction of an interface to allow dynamic queries for a meta-recommender. It is believed that the addition of a dynamic query interface will provide users with more meaningful meta-recommendations by allowing them to explore these causes and effects.