Discovering Latent Aspects for Diversity-Induced Image Retrieval

To provide an overview of a query object to fast target users' demands, it is important to make the retrieved results as diverse as possible. In this paper, we fuse latent Dirichlet allocation and three text-based schemes to improve diversity of retrieved results. The experiments prove our advantages.