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Rare query expansion via Wikipedia for sponsored search
Abstract Sponsored Search has evolved as the deliveSponsored Search has evolved as the delivery of relevant, targeted text advertisements for Web queries. To match the most relevant advertisements for queries, query expansion algorithms were deeply researched during previous works. While most of current state-of-the-art algorithms appeal to Web search results as external resources to expand queries, we propose a novel approach based on Wikipedia for query augmentation against rare queries in sponsored search. By retrieving the top-k relevant articles in Wikipedia with Web query, we can extract more representative information and form a new ad query for the web query. With the new ad query, more relevant advertisements can be identified. To verify the effectiveness of our wiki-based query expansion methodology, we design a set of experiments and the results turn out that our approach is very effective for rare queries in sponsored search.tive for rare queries in sponsored search.
Abstractsub Sponsored Search has evolved as the deliveSponsored Search has evolved as the delivery of relevant, targeted text advertisements for Web queries. To match the most relevant advertisements for queries, query expansion algorithms were deeply researched during previous works. While most of current state-of-the-art algorithms appeal to Web search results as external resources to expand queries, we propose a novel approach based on Wikipedia for query augmentation against rare queries in sponsored search. By retrieving the top-k relevant articles in Wikipedia with Web query, we can extract more representative information and form a new ad query for the web query. With the new ad query, more relevant advertisements can be identified. To verify the effectiveness of our wiki-based query expansion methodology, we design a set of experiments and the results turn out that our approach is very effective for rare queries in sponsored search.tive for rare queries in sponsored search.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-25661-5_64  +
Has author Xu Z. + , Xiaolong Wang + , Yiqin Yu +
Has editor Wang Y.Li T. +
Has extra keyword External resources + , Pseudo relevance feedback + , Query augmentations + , Query expansion + , Sponsored Search + , Sponsored searches + , State-of-the-art algorithms + , Web searches + , Wikipedia + , Algorithms + , Expansion + , Feedback + , Intelligent systems + , Knowledge engineering + , Web services + , Websites +
Has keyword Pseudo-relevance Feedback + , Query Expansion + , Sponsored Search + , Wikipedia +
Isbn 9783642256608  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 521–530  +
Published in Advances in Intelligent and Soft Computing +
Title Rare query expansion via Wikipedia for sponsored search +
Type conference paper  +
Volume 123  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 8 November 2014 07:44:53  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 07:44:53  +
DateThis property is a special property in this wiki. 2011  +
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