In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of ps...
Yan Qu, Alla N. Eilerman, Hongming Jin, David A. E...
Research on cross-language information retrieval (CLIR) has typically been restricted to settings using binary relevance assessments. In this paper, we present evaluation results f...
Raija Lehtokangas, Heikki Keskustalo, Kalervo J&au...
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Relevance feedback has been an indispensable component for multimedia retrieval systems. In this paper, we present an adaptive pattern discovery method, which addresses relevance ...
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...