Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
In this paper, we show that most multiple term queries include more than one topic and users usually reformulate their queries by topics instead of terms. In order to provide empi...
Xuefeng He, Jun Yan, Jinwen Ma, Ning Liu, Zheng Ch...
In this paper, we study a new problem of mining causal relation of queries in search engine query logs. Causal relation between two queries means event on one query is the causati...
Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, ...
Keyword-based search engines, though hugely popular, are limited when trying to answer very specific queries. The processing of search results is performed by users, rather than th...
Ian Blacoe, Ignazio Palmisano, Valentina A. M. Tam...
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...