document: iRIN : image retrieval in image-rich information networks In this demo , we present a system called iRIN designed for performing image retrieval in image-rich information networks . We first introduce MoK-SimRank to significantly improve the speed of SimRank , one of the most popular algorithms for computing node similarity in information networks . Next , we propose an algorithm called SimLearn to ( 1 ) extend MoK-SimRank to heterogeneous image-rich information network , and ( 2 ) account for both link-based and content-based similarities by seamlessly integrating reinforcement learning with feature learning .
doc_bio_tags: O O B I O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O