I pinned it. where can i buy one like it?
Susana Zoghbi, Ivan Vulić, Marie‐Francine Moens · 2013
The information that users of social network sites post often points towards their interests and hobbies. It can be used to recommend relevant products to users. In this paper we implement and evaluate several information retrieval models for linking the texts of pins of Pinterest to webpages of Amazon, and ranking the pages (which we call webshops) according to the personal interest of the pinner. The results show that models that combine latent concepts composed of related terms with single words yield the best performance.