Improve the search and ranking with neural networks
文献类型：会议论文
| 作者 | Chen, Yu Wen; Zhang, Ju ; Zhong, Kun Hua; Liu, Lei Feng; Yao, Yuan
|
| 出版日期 | 2014 |
| 会议日期 | November 29, 2013 - November 30, 2013 |
| 会议地点 | Jinan, Shandong, China |
| DOI | 10.4028/www.scientific.net/AMM.441.721 |
| 页码 | 721-726 |
| 英文摘要 | The full text retrieval system can receive constant feedback in the form of user behavior. In the case of a search engine, each user will immediately provide information about how much he likes the results for a given search by clicking on one result and choosing not to click on the others. This paper will look at a way to record when a user clicks on a result after a query, and design a Click-Tracking Network. Then training it with BP neural networks to intelligently improve the rankings of the results for users. Finally, we implement a search and ranking system content-based ranking and improve the search and ranking with neural network. By experiments we have shown good results. © (2014) Trans Tech Publications, Switzerland. |
| 会议录 | 2013 3rd International Conference on Machinery Electronics and Control Engineering, ICMECE 2013
 |
| 语种 | 英语 |
| 电子版国际标准刊号 | 16627482 |
| ISSN号 | 16609336 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/4795]  |
| 专题 | 高性能计算应用研究中心 北斗导航工程中心 |
| 作者单位 | Chongqing Institute of Green and Intelligent Technology, China |
| 推荐引用方式 GB/T 7714 | Chen, Yu Wen,Zhang, Ju,Zhong, Kun Hua,et al. Improve the search and ranking with neural networks[C]. 见:. Jinan, Shandong, China. November 29, 2013 - November 30, 2013. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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