In this paper we address the task of finding topically relevant email messages in public discussion lists. We make two important observations. First, email messages are not isolat...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
Abstract Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it ...
Searching is inherently an interactive process usually requiring numerous iterations of querying and assessing in order to find the desired amount of relevant information. Essent...
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...