Open access funding provided by Austrian Science Fund (FWF). This research was partly supported by the Austrian Science Fund (FWF) Project Number P25905-N23 (ADmIRE). This work has been supported by the Self-Optimizer project (FFG 852624) in the EUROSTARS programme, funded by EUREKA, the BMWFW and the European Union
The present study deals with word frequencies distributions and their relation to probabilistic Info...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
This thesis devises a novel methodology based on probability theory, suitable for the construction o...
Every information retrieval (IR) model embeds in its scoring function a form of term frequency (TF) ...
We introduce and create a framework for deriving probabilistic models of Information Retrieval. The ...
Automatic information retrieval systems have to deal with documents of varying lengths in a text col...
Abstract. Term frequency normalization is a serious issue since lengths of doc-uments are various. G...
Document length normalization is an important aspect of term weight assignment in an automatic infor...
Abstract. The effectiveness of BM25 retrieval function is mainly due to its sub-linear term frequenc...
Document fields, such as the title or the headings of a document, offer a way to consider the struct...
Automatic information retrieval systems have to deal with documents of varying lengths in a text col...
In Information Retrieval (IR), the Dirichlet Priors have been applied to the smoothing technique of ...
In Information Retrieval (IR), the Dirichlet Priors have been applied to the smoothing technique of ...
Term weighting is an essential part of the modern information retrieval systems. Out of the three ma...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
This thesis devises a novel methodology based on probability theory, suitable for the construction o...
Every information retrieval (IR) model embeds in its scoring function a form of term frequency (TF) ...
We introduce and create a framework for deriving probabilistic models of Information Retrieval. The ...
Automatic information retrieval systems have to deal with documents of varying lengths in a text col...
Abstract. Term frequency normalization is a serious issue since lengths of doc-uments are various. G...
Document length normalization is an important aspect of term weight assignment in an automatic infor...
Abstract. The effectiveness of BM25 retrieval function is mainly due to its sub-linear term frequenc...
Document fields, such as the title or the headings of a document, offer a way to consider the struct...
Automatic information retrieval systems have to deal with documents of varying lengths in a text col...
In Information Retrieval (IR), the Dirichlet Priors have been applied to the smoothing technique of ...
In Information Retrieval (IR), the Dirichlet Priors have been applied to the smoothing technique of ...
Term weighting is an essential part of the modern information retrieval systems. Out of the three ma...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
The present study deals with word frequencies distributions and their relation to probabilistic Info...
This thesis devises a novel methodology based on probability theory, suitable for the construction o...