Research and Development in Information Retrieval

By Gerard A. Salton, H. Schneider. 1982

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “Partial replay has also been proposed to build cognitive schemata (Lewis & Durrant, 2011).”
Dynamics of information diffusion and its applications on complex networks (2016, background): “Although we can obtain many empirical analyses between some simple content features and spreading patterns, such as whether the tweets contain URL or hashtags [101,102], the length of the messages [103,104] and so on, it is still unclear that what features of the content are the critical factors to ”
Social media and political communication: a social media analytics framework (2012, methodology): “These include, for example, the probabilistic latent semantic indexing (Hofmann 1999) or latent Dirichlet allocation models (Blei et al.”
VIPS: a Vision-based Page Segmentation Algorithm (2003, background): “3 topic distillation [Chakrabarti 2001][ Chakrabarti et al. 2001] and focused crawling [Chakrabarti et al.”
Two decades of statistical language modeling: where do we go from here? (2000, methodology): “In information retrieval, a language modeling approac h was recently proposed by [3], and a statistical/informatio n theoretical approach was developed by [4].”