Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2009/paper/128> ?p ?o. }
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- 128 type InProceedings.
- 128 label "Advertising Keyword Generation Using Active Learning".
- 128 sameAs 128.
- 128 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.".
- 128 hasAuthorList authorList.
- 128 isPartOf proceedings.
- 128 keyword "Poster Session".
- 128 title "Advertising Keyword Generation Using Active Learning".