We use Latent Dirichlet Allocation (LDA), a generative probabilistic topic model, to exhibit highly- specific query-related topics from pseudo-relevant feedback.

An unsupervised method for mining and modeling latent search concepts in order to increase the coverage of these facets of the user query, using Latent ...

May 15, 2013 · We introduce an unsupervised method for mining and modeling latent search concepts in order to increase the coverage of these facets. We use ...

Oct 13, 2024 · 2014. The present study focuses on (a) predicting parameters of already existing standard IR models and (b) learning new IR functions.

May 29, 2014 · Bibliographic details on Unsupervised latent concept modeling to identify query facets.

Oct 22, 2024 · We introduce an unsupervised method for mining and modeling latent search concepts in order to increase the coverage of these facets.

Jun 6, 2014 · We propose an unsupervised method namely Latent Concept Modeling (LCM) for mining and modeling la- tent search concepts in order to recreate the ...

Jun 16, 2014 · Unsupervised Latent Concept Modeling to Identify Query Facets. In Proceedings of the 10th Conference on Open Research Areas in Information ...

4 days ago · RichRAG introduces a sub-aspect explorer to dissect input queries and uncover their latent facets. This is integrated with a multi-faceted ...