@inproceedings{636c1484872d43b59499e7006e5e56f2,
title = "iRIN: Image retrieval in image-rich information networks",
abstract = "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.",
keywords = "image retrieval, information network, ranking",
author = "Xin Jin and Jiebo Luo and Jie Yu and Gang Wang and Dhiraj Joshi and Jiawei Han",
year = "2010",
doi = "10.1145/1772690.1772897",
language = "English (US)",
isbn = "9781605587998",
series = "Proceedings of the 19th International Conference on World Wide Web, WWW '10",
pages = "1261--1264",
booktitle = "Proceedings of the 19th International Conference on World Wide Web, WWW '10",
note = "19th International World Wide Web Conference, WWW2010 ; Conference date: 26-04-2010 Through 30-04-2010",
}