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...
Semantic Web technology is intended for the retrieval, collection, and analysis of meaningful data with significant automation afforded by machine understandability of data [1]. A...
Abstract – The method of latent semantic indexing (LSI) is well known for tackling the synonymy and polysemy problems in information retrieval. However, its performance can be ve...
How-To queries answer fundamental data analysis questions of the form: “How should the input change in order to achieve the desired output”. As a Reverse Data Management probl...
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,...