FashionAsk: pushing community answers to your fingertips

  • Authors:
  • Wei Zhang;Lei Pang;Chong-Wah Ngo

  • Affiliations:
  • City University of Hong Kong, Hong Kong, Hong Kong;City University of Hong Kong, Hong Kong, Hong Kong;City University of Hong Kong, Hong Kong, Hong Kong

  • Venue:
  • Proceedings of the 20th ACM international conference on Multimedia
  • Year:
  • 2012

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Abstract

We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from community-contributed QA websites as answers. The demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as five seconds to retrieve the candidate answer as well as suggested questions.