Abstract. We propose a new approach for enhancing collaborative information retrieval by means of incorporating positional data for a location-aware personalized retrieval process....
Andreas Behrend, Frank Reichartz, Christian Dorau,...
Abstract. We provide evidence of the feasibility and effectiveness of a middleware architecture for mobile devices which employs dense distributions of small computerized entities ...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...