ML Anthology

Participatory Art Museum: Collecting and Modeling Crowd Opinions

Xiaoyu Zeng, Ruohan Zhang
AAAI 2017 pp. 5017-5018
doi:10.1609/AAAI.V31I1.11072 /aaai/2017/zeng2017aaai-participatory/

Abstract

We collect public opinions on museum artworks using online crowdsourcing techniques. We ask two research questions. First, do crowd opinions on artworks differ from expert interpretations? Second, how can museum manage large amount of crowd opinions, such that users can efficiently retrieve useful information? We address these questions through opinion modeling via semantic embedding and dimension reduction.

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Cite

Text

Zeng and Zhang. "Participatory Art Museum: Collecting and Modeling Crowd Opinions." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.11072

Markdown

[Zeng and Zhang. "Participatory Art Museum: Collecting and Modeling Crowd Opinions." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/zeng2017aaai-participatory/) doi:10.1609/AAAI.V31I1.11072

BibTeX

@inproceedings{zeng2017aaai-participatory,
  title     = {{Participatory Art Museum: Collecting and Modeling Crowd Opinions}},
  author    = {Zeng, Xiaoyu and Zhang, Ruohan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {5017-5018},
  doi       = {10.1609/AAAI.V31I1.11072},
  url       = {https://mlanthology.org/aaai/2017/zeng2017aaai-participatory/}
}