Matches in ScholarlyData for { ?s ?p ?o. }
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasItem item-6.
- authorList hasLastItem item-6.
- item-1 type ListItem.
- item-1 hasContent jyh-ren-shieh.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent yung-huan-hsieh.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent yang-ting-yeh.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent tse-chung-su.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent ching-yung-lin.
- item-5 next item-6.
- item-5 previous item-4.
- item-6 type ListItem.
- item-6 hasContent ja-ling-wu.
- item-6 previous item-5.
- 127 type InProceedings.
- 127 label "Towards Intent-Driven Bidterm Suggestion".
- 127 sameAs 127.
- 127 abstract "In online advertising, pervasive in commercial search engines, advertisers typically bid on few terms, and the scarcity of data makes ad matching difficult. Suggesting additional bidterms can significantly improve ad clickability and conversion rates. In this paper, we present a large-scale bidterm suggestion system that models an advertiser's intent and finds new bidterms consistent with that intent. Preliminary experiments show that our system significantly increases the coverage of a state of the art production system used at Yahoo while maintaining comparable precision.".
- 127 hasAuthorList authorList.
- 127 isPartOf proceedings.
- 127 keyword "Poster Session".
- 127 title "Towards Intent-Driven Bidterm Suggestion".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent william-chang.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent patrick-pantel.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent ana-maria-popescu.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent evgeniy-gabrilovich.
- item-4 previous item-3.
- 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".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasItem item-6.
- authorList hasItem item-7.
- authorList hasItem item-8.
- authorList hasLastItem item-8.
- item-1 type ListItem.
- item-1 hasContent hao-wu.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent guang-qiu.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent xiaofei-he.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent yuan-shi.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent mingcheng-qu.
- item-5 next item-6.
- item-5 previous item-4.
- item-6 type ListItem.
- item-6 hasContent jing-shen.
- item-6 next item-7.
- item-6 previous item-5.
- item-7 type ListItem.