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pro vyhledávání: '"CROFT, W. BRUCE"'
Autor:
Hashemi, Helia, Zhuang, Yong, Kothur, Sachith Sri Ram, Prasad, Srivas, Meij, Edgar, Croft, W. Bruce
In information retrieval (IR), domain adaptation is the process of adapting a retrieval model to a new domain whose data distribution is different from the source domain. Existing methods in this area focus on unsupervised domain adaptation where the
Externí odkaz:
http://arxiv.org/abs/2307.02740
Neural ranking models (NRMs) have demonstrated effective performance in several information retrieval (IR) tasks. However, training NRMs often requires large-scale training data, which is difficult and expensive to obtain. To address this issue, one
Externí odkaz:
http://arxiv.org/abs/2304.08912
Existing commercial search engines often struggle to represent different perspectives of a search query. Argument retrieval systems address this limitation of search engines and provide both positive (PRO) and negative (CON) perspectives about a user
Externí odkaz:
http://arxiv.org/abs/2108.10442
Users often need to look through multiple search result pages or reformulate queries when they have complex information-seeking needs. Conversational search systems make it possible to improve user satisfaction by asking questions to clarify users' s
Externí odkaz:
http://arxiv.org/abs/2107.05760