We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
Logs of users' searches on Web health topics can exhibit signs of escalation of medical concerns, where initial queries about common symptoms are followed by queries about se...
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
The application of nlp techniques to improve the results of information retrieval is still considered as a controversial issue, whereas nlp techniques in cross-language informatio...