Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
—In this paper we propose the use of answer set programming (ASP) to model protein interaction networks. We argue that this declarative formalism rivals the popular boolean netwo...
Timur Fayruzov, Martine De Cock, Chris Cornelis, D...
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Attending a complex scheduled social event, such as a multi-day music festival, requires a significant amount of planning before and during its progression. Advancements in mobile...
Jeff Crow, Eryn Whitworth, Ame Wongsa, Luis Franci...