Veröffentlichung: 2010 Januar
Art der Veröffentlichung: Technical Report
Faceted search allows users to browse and discover relevant items from a large collection such as the Web. Given a large amount of facets, current solutions allow users to focus on a ranked list of facets. While state-of-the-art ranking mechanisms are either generic or assume that users are searching for specific items, the solution we propose targets fuzzy information needs. We want to support users in discovering new or unfamiliar items of interest. Thus, instead of supporting users in searching for specific items, we propose a ranking scheme that is oriented towards browsing and exploration. Also targeting effective browsing, we propose clustering and facet grouping mechanisms to allow users to uniformly browse facets and facet values. Via a task-based evaluation, we demonstrate that the proposed solution enables more effective browsing, when compared to the state-of-the-art that is focused on precise needs.