Bound of Information Need in Information Retrieval
Biao Wang, Guanglai Gao · 2010
In information retrieval, how to analyze correctly and express exactly user's information need is the key to improve the precision of information retrieval. This paper proposes a model called bound of information need based on an approximation space. The model can measure user's information need domain. The paper also introduces two kinds of bound models: bound with query and bound with no query. The experiments show that the models have good results.