creators_name: Wu, Hao creators_name: Qiu, Guang creators_name: He, Xiaofei creators_name: Shi, Yuan creators_name: Qu, Mingcheng creators_name: Shen, Jing creators_name: Bu, Jiajun creators_name: Chen, Chun type: conference_item datestamp: 2009-04-06 19:12:33 lastmod: 2009-04-14 04:37:11 metadata_visibility: show title: Advertising Keyword Generation Using Active Learning ispublished: pub full_text_status: public pres_type: poster abstract: 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 pagerange: 1095-1095 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Wu, Hao and Qiu, Guang and He, Xiaofei and Shi, Yuan and Qu, Mingcheng and Shen, Jing and Bu, Jiajun and Chen, Chun (2009) Advertising Keyword Generation Using Active Learning. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/128/1/p1095.pdf