Probabilistic model for contextual retrieval

Ji-Rong Wen, Ni Lao, Wei-Ying Ma
2004 Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04  
Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its importance, there is no comprehensive retrieval model to describe the contextual retrieval process. We observed that incompatible context, noisy context and incomplete query are several important issues commonly existing in contextual retrieval applications. However, these issues have not been previously explored and
more » ... ed. In this paper, we propose probabilistic models to address these problems. Our study clearly shows that query log is the key to build effective contextual retrieval models. We also conduct a case study in the PC troubleshooting domain to testify the performance of the proposed models and experimental results show that the models can achieve very good retrieval precision.
doi:10.1145/1008992.1009005 dblp:conf/sigir/WenLM04 fatcat:sbdw6yxz7fg4rosjfg3ugpvu74