In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densely linked. The link structure in Wikipedia differs from the Web at large: interna...
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...
Abstract. Information retrieval systems have traditionally been evaluated over absolute judgments of relevance: each document is judged for relevance on its own, independent of oth...
Ben Carterette, Paul N. Bennett, David Maxwell Chi...
Abstract. Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is su...
Falk Scholer, Milad Shokouhi, Bodo Billerbeck, And...
Using map visualisation tools and earth browsers to display images in a spatial context is integral to many photo-sharing sites and commercial image archives, yet little academic r...
Information retrieval is an empirical science; the field cannot move forward unless there are means of evaluating the innovations devised by researchers. However the methodologies...
Mark Sanderson, Martin Braschler, Nicola Ferro, Ju...
Abstract. This paper presents first steps towards building a music information system like last.fm, but with the major difference that the data is automatically retrieved from the ...
Markus Schedl, Peter Knees, Tim Pohle, Gerhard Wid...
This paper introduces CL-ESA, a new multilingual retrieval model for the analysis of cross-language similarity. The retrieval model exploits the multilingual alignment of Wikipedia...