caa a22 4500 445871490 CHVBK 20180317145513.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s10618-010-0168-8 doi (NATIONALLICENCE)springer-10.1007/s10618-010-0168-8 Yu Hwanjo Faculty of the Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Kyungbuk, Republic of Korea aut Selective sampling techniques for feedback-based data retrieval [Elektronische Daten] [Hwanjo Yu] As many databases have been brought online, data retrieval—finding relevant data from large databases—has become a nontrivial task. A feedback-based data retrieval system was proposed to provide user with an intuitive way for expressing their preferences in queries. The system iteratively receives a partial ordering on a sample of data from the user, learns a ranking function, and returns highly ranked results according to the function. An important issue in such retrieval systems is minimizing the number of iterations or the amount of feedback to learn an accurate ranking function. This paper proposes selective sampling (or active learning) techniques for RankSVM that can be used in the retrieval systems. The proposed techniques minimizes the amount of user interaction to learn an accurate ranking function thus facilitates users formulating a preference query in the data retrieval system. The Author(s), 2010 Selective sampling nationallicence Feedback-based data retrieval nationallicence Data Mining and Knowledge Discovery Springer US; http://www.springer-ny.com 22/1-2(2011-01-01), 1-30 1384-5810 22:1-2<1 2011 22 10618 https://doi.org/10.1007/s10618-010-0168-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10618-010-0168-8 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Yu Hwanjo Faculty of the Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Kyungbuk, Republic of Korea aut NATIONALLICENCE 773 0- Data Mining and Knowledge Discovery Springer US; http://www.springer-ny.com 22/1-2(2011-01-01), 1-30 1384-5810 22:1-2<1 2011 22 10618 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer