As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
When working on a new project, researchers need to devote a significant amount of time and effort to surveying the relevant literature. This is required in order to gain experti...
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
For our participation in CLEF, the Berkeley group participated in the monolingual, multilingual and GIRT tasks. To help enrich the CLEF relevance set for future training, we prepa...
Fredric C. Gey, Hailing Jiang, Vivien Petras, Aita...