title: Advertising Keyword Generation Using Active Learning
creator: Wu, Hao
creator: Qiu, Guang
creator: He, Xiaofei
creator: Shi, Yuan
creator: Qu, Mingcheng
creator: Shen, Jing
creator: Bu, Jiajun
creator: Chen, Chun
description: This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a supervised learning problem and suggest new terms for the seed by leveraging user relevance feedback information. Active learning is employed to select the most informative samples from a set of candidate terms for user labeling. Experiments show our approach improves the relevance of generated terms significantly with little user effort required. 
date: 2009-04
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
identifier: http://www2009.eprints.org/128/1/p1095.pdf
identifier: Wu, Hao <http://www2009.eprints.org/view/author/Wu=3AHao=3A=3A.html> and Qiu, Guang <http://www2009.eprints.org/view/author/Qiu=3AGuang=3A=3A.html> and He, Xiaofei <http://www2009.eprints.org/view/author/He=3AXiaofei=3A=3A.html> and Shi, Yuan <http://www2009.eprints.org/view/author/Shi=3AYuan=3A=3A.html> and Qu, Mingcheng <http://www2009.eprints.org/view/author/Qu=3AMingcheng=3A=3A.html> and Shen, Jing <http://www2009.eprints.org/view/author/Shen=3AJing=3A=3A.html> and Bu, Jiajun <http://www2009.eprints.org/view/author/Bu=3AJiajun=3A=3A.html> and Chen, Chun <http://www2009.eprints.org/view/author/Chen=3AChun=3A=3A.html> (2009) Advertising Keyword Generation Using Active Learning. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain.
relation: http://www2009.eprints.org/128/