Previous research has taught us that the typical nonprofessional information seeker on the World Wide Web submits very short queries resulting in low-precision results. We show th...
This paper describes our participation in the CLEF 2004 French monolingual task. We used our Terrier Information Retrieval platform and experimented with query expansion and query...
Christina Lioma, Ben He, Vassilis Plachouras, Iadh...
We study the problem of querying data sources that accept only a limited set of queries, such as sources accessible by Web services which can implement very large (potentially inf...
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
User generated content is characterized by short, noisy documents, with many spelling errors and unexpected language usage. To bridge the vocabulary gap between the user's in...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke