FashionAsk | Zendy

Wei Zhang | Zendy; Lei Pang | Zendy; ChongWah Ngo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

FashionAsk

Author(s) -

Wei Zhang,

Lei Pang,

ChongWah Ngo

Publication year - 2012

Publication title -

proceedings of the 30th acm international conference on multimedia

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2393347.2396476

Subject(s) - computer science , information retrieval , ask price , question answering , modal , domain (mathematical analysis) , world wide web , open domain , scale (ratio) , questions and answers , multimedia , mathematical analysis , chemistry , physics , economy , mathematics , quantum mechanics , polymer chemistry , economics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research