Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
The emergence of the Web has made more and more news items available, however only a small subset of these news items are relevant in a decision making process. Therefore decision...
Jethro Borsje, Leonard Levering, Flavius Frasincar
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Web search engines often federate many user queries to relevant structured databases. For example, a product related query might be federated to a product database containing thei...