Add to ORKGThis poster session examines a probabilistic approach to distributed information retrieval using a Logistic Regression algorithm for estimation of collection relevance. The algorithm is compared to other methods for distributed search using test collections developed for distributed search evaluation
Abstract. This paper presents a new probabilistic model of information retrieval. The most important...
. This paper presents a new probabilistic model of information retrieval. The most important modelin...
In the frame of research in particle physics, CERN has been developing its own web-based software /I...
This short paper presents some preliminary effectiveness re-sults for a probabilistic approach to di...
Abstract. This paper examines technology developed to support largescale distributed digital librari...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This research evaluates a model for probabilistic text and document retrieval; the model utilizes th...
This paper describes a model for optimum information retrieval over a distributed document collectio...
The major emphasis of this paper is on analytical techniques for predicting the performance of vario...
Retrieval models are the core components of information retrieval systems, which guide the document ...
An open problem for Distributed Information Retrieval is how to represent large document repositorie...
The use of sampling, randomized algorithms, or training based on the unpredictable inputs of users i...
The use of sampling, randomized algorithms, or training based on the unpredictable inputs of users i...
This paper evaluates the retrieval effectiveness of distributed information retrieval systems in rea...
Abstract. This paper presents a new probabilistic model of information retrieval. The most important...
. This paper presents a new probabilistic model of information retrieval. The most important modelin...
In the frame of research in particle physics, CERN has been developing its own web-based software /I...
This short paper presents some preliminary effectiveness re-sults for a probabilistic approach to di...
Abstract. This paper examines technology developed to support largescale distributed digital librari...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This research evaluates a model for probabilistic text and document retrieval; the model utilizes th...
This paper describes a model for optimum information retrieval over a distributed document collectio...
The major emphasis of this paper is on analytical techniques for predicting the performance of vario...
Retrieval models are the core components of information retrieval systems, which guide the document ...
An open problem for Distributed Information Retrieval is how to represent large document repositorie...
The use of sampling, randomized algorithms, or training based on the unpredictable inputs of users i...
The use of sampling, randomized algorithms, or training based on the unpredictable inputs of users i...
This paper evaluates the retrieval effectiveness of distributed information retrieval systems in rea...
Abstract. This paper presents a new probabilistic model of information retrieval. The most important...
. This paper presents a new probabilistic model of information retrieval. The most important modelin...
In the frame of research in particle physics, CERN has been developing its own web-based software /I...