The aim of an effective information system is to respond to a query so as to retrieve most relevant documents, while retrieving very few irrelevant documents.
Abstract: The aim of an effective retrieval system is to yield high recall and precision (retrieval effectiveness). The nonbinary independence model, which ...
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Nov 18, 2015 · Abstract:This chapter presents a theoretical framework for evaluating next generation search engines. We focus on search engines whose ...
An alternative approach to evaluation of interactive information retrieval (IIR) systems, referred to as the IIR evaluation model, is proposed.
Our approach consists of two phases: (I) Session Graph Construction and (II) Diversity Reranking. For a given query, phase (I) builds a Session Graph which ...
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in ...
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The goal of the DRIVEN framework, presented here, is to address these challenges for a data gathering and distance-based clustering tool in the context of ...
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Apr 19, 2024 · RAG combines retrieval methods and advanced deep learning to address two main questions: effectively retrieving relevant information and generating accurate ...
To simplify this process, we designed the Information retrieval framework to retrieve information from the Web Using NLP Techniques. Many information retrieval ...
The aim of an effective retrieval system is to yield high recall and precision (retrieval effectiveness). The nonbinary independence model, which takes into ...
This is the first attempt to provide a systematic framework for evaluating the retrieval effectiveness of twenty-first-century LISs and can be used as a ...