Difference between revisions of "Rare Query Expansion via Wikipedia for Sponsored Search"
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| − | '''Rare Query Expansion via Wikipedia for Sponsored Search''' - scientific work related to Wikipedia quality published in 2011, written by Zhuoran Xu, Xiangzhi Wang and Yong Yu. | + | '''Rare Query Expansion via Wikipedia for Sponsored Search''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Zhuoran Xu]], [[Xiangzhi Wang]] and [[Yong Yu]]. |
== Overview == | == Overview == | ||
| − | Sponsored 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, authors 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, authors 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 wiki-based query expansion methodology, authors design a set of experiments and the results turn out that approach is very effective for rare queries in sponsored search. | + | Sponsored 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, authors 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, authors 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 wiki-based query expansion methodology, authors design a set of experiments and the results turn out that approach is very effective for rare queries in sponsored search. |
Revision as of 23:11, 6 July 2019
Rare Query Expansion via Wikipedia for Sponsored Search - scientific work related to Wikipedia quality published in 2011, written by Zhuoran Xu, Xiangzhi Wang and Yong Yu.
Overview
Sponsored 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, authors 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, authors 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 wiki-based query expansion methodology, authors design a set of experiments and the results turn out that approach is very effective for rare queries in sponsored search.
