When a user is looking for a product recommendation they usually lack expert knowledge regarding the items they are looking for. Ontologies on the other hand are crafted by experts...
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Social network systems on the Internet, such MySpace and LinkedIn, are growing in popularity around the world. The level of such activity is now comparable to that associated with...
We describe the WebCLEF 2008 task. Similarly to the 2007 edition of WebCLEF, the 2008 edition implements a multilingual "information synthesis" task, where, for a given t...