Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user's context of the document collection into the retrieval process. The preliminary findings from the evaluation undertaken suggest that improved IR performance is possible under certain circumstances. This motivates further investigation to determine the extent and significance of this improved performance
Abstract: In this chapter, we study and present our results on the problem of employing a cognitive ...
We report on an application of language modeling techniques to the retrieval of Farsi documents. We ...
Document expansion is the process of augmenting the text of a document with text drawn from one or m...
We propose a topic based approach to language modelling for ad-hoc Information Retrieval (IR). Many ...
We propose a topic based approach lo language modelling for ad-hoc Information Retrieval (IR). Many...
Search engine technology builds on theoretical and empirical research results in the area of informa...
Numerous past studies have demonstrated the effectiveness of the relevance model (RM) for informatio...
While participating in the HARD track our first question was, what an IR-application should look lik...
While participating in the HARD track our first question was, what an IR-application should look lik...
We propose a topic based approach lo language modelling for ad-hoc Information Retrieval (IR). Many...
Search engines have become a crucial tool for finding information in repositories containing large a...
Language models form a class of successful probabilistic models in information retrieval. However, k...
We propose a topic based approach to language modelling for ad-hoc Information Retrieval (IR). Many ...
Contains fulltext : 73393.pdf (publisher's version ) (Open Access)Language models ...
In today\u27s world, there is no shortage of information. However, for a specific information need, ...
Abstract: In this chapter, we study and present our results on the problem of employing a cognitive ...
We report on an application of language modeling techniques to the retrieval of Farsi documents. We ...
Document expansion is the process of augmenting the text of a document with text drawn from one or m...
We propose a topic based approach to language modelling for ad-hoc Information Retrieval (IR). Many ...
We propose a topic based approach lo language modelling for ad-hoc Information Retrieval (IR). Many...
Search engine technology builds on theoretical and empirical research results in the area of informa...
Numerous past studies have demonstrated the effectiveness of the relevance model (RM) for informatio...
While participating in the HARD track our first question was, what an IR-application should look lik...
While participating in the HARD track our first question was, what an IR-application should look lik...
We propose a topic based approach lo language modelling for ad-hoc Information Retrieval (IR). Many...
Search engines have become a crucial tool for finding information in repositories containing large a...
Language models form a class of successful probabilistic models in information retrieval. However, k...
We propose a topic based approach to language modelling for ad-hoc Information Retrieval (IR). Many ...
Contains fulltext : 73393.pdf (publisher's version ) (Open Access)Language models ...
In today\u27s world, there is no shortage of information. However, for a specific information need, ...
Abstract: In this chapter, we study and present our results on the problem of employing a cognitive ...
We report on an application of language modeling techniques to the retrieval of Farsi documents. We ...
Document expansion is the process of augmenting the text of a document with text drawn from one or m...