Volpe, I.; Moreira, V.; Huyck, C.

Cell assemblies for query expansion in information retrieval

Conference paper

Volpe, I., Moreira, V. and Huyck, C. 2011. Cell assemblies for query expansion in information retrieval. 2011 International Joint Conference on Neural Networks (IJCNN). San Jose, CA, USA 31 Jul - 05 Aug 2011 IEEE. pp. 551-558 https://doi.org/10.1109/IJCNN.2011.6033269

ISBN
Type	Conference paper
Title	Cell assemblies for query expansion in information retrieval
Authors	Volpe, I., Moreira, V. and Huyck, C.
Abstract	One of the main tasks in Information Retrieval is to match a user query to the documents that are relevant for it. This matching is challenging because in many cases the keywords the user chooses will be different from the words the authors of the relevant documents have used. Throughout the years, many approaches have been proposed to deal with this problem. One of the most popular consists in expanding the query with related terms with the goal of retrieving more relevant documents. In this paper, we propose a new method in which a Cell Assembly model is applied for query expansion. Cell Assemblies are reverberating circuits of neurons that can persist long beyond the initial stimulus has ceased. They learn through Hebbian Learning rules and have been used to simulate the formation and the usage of human concepts. We adapted the Cell Assembly model to learn relationships between the terms in a document collection. These relationships are then used to augment the original queries. Our experiments use standard Information Retrieval test collections and show that some queries significantly improved their results with our technique.
Research Group	Artificial Intelligence group
Conference	2011 International Joint Conference on Neural Networks (IJCNN)
Page range	551-558
Proceedings Title	The 2011 International Joint Conference on Neural Networks (IJCNN)
ISSN	2161-4393
Electronic	2161-4407
Hardcover	9781424496358
Electronic	9781424496372
Electronic	9781424496365
Publisher	IEEE
Publication dates
Print	2011
Publication process dates
Deposited	03 Jul 2013
Output status	Published
Digital Object Identifier (DOI)	https://doi.org/10.1109/IJCNN.2011.6033269
Web of Science identifier	WOS:000297541200079
Web address (URL) of conference proceedings	https://ieeexplore.ieee.org/xpl/conhome/6022827/proceeding
Language	English

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