The term online reputation addresses trust relationships amongst agents in dynamic open systems. These can appear as ratings, recommendations, referrals and feedback. Several repu...
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...
Recently, question series have become one focus of research in question answering. These series are comprised of individual factoid, list, and “other” questions organized arou...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Question answering systems increasingly need to deal with complex information needs that require more than simple factoid answers. The evaluation of such systems is usually carrie...