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pro vyhledávání: '"Lian, Yijiang"'
Synonymous keyword retrieval has become an important problem for sponsored search ever since major search engines relax the exact match product's matching requirement to a synonymous level. Since the synonymous relations between queries and keywords
Externí odkaz:
http://arxiv.org/abs/2105.12371
Autor:
Lian, Yijiang, Liu, Yubo, Ye, Zhicong, Yuan, Liang, Zhu, Yanfeng, Zhao, Min, Cheng, Jianyi, Feng, Xinwei
In sponsored search, retrieving synonymous keywords for exact match type is important for accurately targeted advertising. Data-driven deep learning-based method has been proposed to tackle this problem. An apparent disadvantage of this method is its
Externí odkaz:
http://arxiv.org/abs/2102.10560
Autor:
Lian, Yijiang, Chen, Zhijie, Pei, Xin, Li, Shuang, Wang, Yifei, Qiu, Yuefeng, Zhang, Zhiheng, Tao, Zhipeng, Yuan, Liang, Guan, Hanju, Zhang, Kefeng, Li, Zhigang, Liu, Xiaochun
Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking. During ad retrieving, the ad candidates grow exponentially. A query with high commercial value might retrieve a great
Externí odkaz:
http://arxiv.org/abs/2008.02014
In sponsored search, retrieving synonymous keywords is of great importance for accurately targeted advertising. The semantic gap between queries and keywords and the extremely high precision requirements (>= 95\%) are two major challenges to this tas
Externí odkaz:
http://arxiv.org/abs/2008.01969
Autor:
Lian, Yijiang, Chen, Zhijie, Hu, Jinlong, Zhang, Kefeng, Yan, Chunwei, Tong, Muchenxuan, Han, Wenying, Guan, Hanju, Li, Ying, Cao, Ying, Yu, Yang, Li, Zhigang, Liu, Xiaochun, Wang, Yue
In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query. This method is completely end-to-end, which skips query rewriting and relevance
Externí odkaz:
http://arxiv.org/abs/1902.00592
Autor:
Lian, Yijiang1, Li, Zhiping1 lizp@math.pku.edu.cn
Publikováno v:
International Journal of Fracture. Feb2012, Vol. 173 Issue 2, p147-161. 15p.
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