Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications
Probabilistic topic models are unsupervised generative models which model document
content as a two-step generation process, that is, documents are observed as mixtures of …
content as a two-step generation process, that is, documents are observed as mixtures of …
Latent Dirichlet allocation for linking user-generated content and e-commerce data
Automatic linking of online content improves navigation possibilities for end users. We focus
on linking content generated by users to other relevant sites. In particular, we study the …
on linking content generated by users to other relevant sites. In particular, we study the …
[PDF][PDF] Fashion meets computer vision and nlp at e-commerce search
In this paper, we focus on cross-modal (visual and textual) e-commerce search within the
fashion domain. Particularly, we investigate two tasks: 1) given a query image, we retrieve …
fashion domain. Particularly, we investigate two tasks: 1) given a query image, we retrieve …
Retrieving information from multiple sources
The Web has several information sources on which an ongoing event is discussed. To get a
complete picture of the event, it is important to retrieve information from multiple sources. We …
complete picture of the event, it is important to retrieve information from multiple sources. We …