This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
An increasing number of databases are becoming Web accessible through form-based search interfaces, and many of these sources are database-driven E-commerce sites. It is a daunting...
The Web as a global information space is developing from a Web of documents to a Web of data. This development opens new ways for addressing complex information needs. Search is n...
Haofen Wang, Thomas Penin, Kaifeng Xu, Junquan Che...
The unarguably fast, and continuous, growth of the volume of indexed (and indexable) documents on the Web poses a great challenge for search engines. This is true regarding not on...
To facilitate ordinary people to search medical information, we have built an intelligent medical Web search engine called iMed. iMed uses medical knowledge and an interactive que...