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...
We conduct large-scale search engine relevance experiments, using the 12% of queries that contain placenames, matching the placenames to places in the documents, and examining the...
This study focused on the relevance judgments made by health information users using the Web. Health information users were conceptualized as motivated information users concerned...
Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
As the amount of personal information stored at remote service providers increases, so does the danger of data theft. When connections to remote services are made in the clear and ...
Claude Castelluccia, Emiliano De Cristofaro, Danie...