We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
For this year's Image CLEF Photo Retrieval task, we have prepared 5 submission runs to help us assess the effectiveness of 1) image content-based retrieval, and 2) textbased ...
We investigate a series of targeted modifications to a data-driven dependency parser of German and show that these can be highly effective even for a relatively well studied langu...
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
State-of-the-art Peer-to-Peer Information Retrieval (P2P IR) systems suffer from their lack of response time guarantee especially with scale. To address this issue, a number of tec...
Christian Zimmer, Srikanta J. Bedathur, Gerhard We...