Predicting Query Performance in Domain-Specific Corpora

Surendra Sarnikar, Zhu Zhang, J. Zhao
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
The performance of a document recommender system is dependent on the quality and characteristics of the query used by the recommender to retrieve relevant documents. Automatically predicting the performance of a query can help identify ineffective queries and can help improve performance by selectively applying query expansion techniques. In this paper, we study Information-entropy-based measures for predicting performance of a query in the context of domain-specific corpora. We propose a new
more » ... mpling mechanism that can more accurately estimate query models in domain-specific corpora and hence deliver better predictions. We evaluate the validity our technique by analyzing its performance in five different domain-specific corpora.
doi:10.1109/hicss.2007.440 dblp:conf/hicss/SarnikarZZ07 fatcat:ds7bum4arzfspdcea5j73etmgy