We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Text categorization and retrieval tasks are often based on a good representation of textual data. Departing from the classical vector space model, several probabilistic models have...
Cross-language retrieval systems use queries in one natural language to guide retrieval of documents that might be written in another. Acquisition and representation of translation...
In this paper we describe our experiments in finding answers from documents based on statistical and linguistic knowledge. We collected the candidate answers from sources available...