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IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction

MPRSS 2014: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction pp 141–144Cite as

Exploring Alternate Modalities for Tag Recommendation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8869))

Abstract

Etsy is an online marketplace (www.etsy.com) for users selling unique handcrafted goods and vintage wares. Etsy’s sellers currently maintain a total of 25 million active listings in the marketplace. Usability research has identified the listing creation process as a pain point for sellers. Adding tags to a listing can be a particularly challenging task for new sellers who are unfamiliar with the tagging taxonomy. Automatically generated tags can reduce confusion and minimize the effort required to list new items for sale in an online marketplace. In this paper we explore listings images in the absence of text modality for automatic tag suggestion. Coupled with the ability for users to manually add tags, the proposed model can ease the burden of tagging and increase the utility of retrieval systems built on top of tagging data.

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Notes

  1. 1.

    http://www.statista.com/statistics/183755/number-of-us-internet-shoppers-since-2009/.

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Author information

Authors and Affiliations

  1. Etsy Inc., New York, USA

    Kamelia Aryafar & Jerry Soung

Authors
  1. Kamelia Aryafar
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  2. Jerry Soung
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Corresponding author

Correspondence to Kamelia Aryafar .

Editor information

Editors and Affiliations

  1. University of Ulm, Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

  2. University of Southern California, Playa Vista, California, USA

    Stefan Scherer

  3. University of Southern California, Playa Vista, California, USA

    Louis-Philippe Morency

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© 2015 Springer International Publishing Switzerland

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Aryafar, K., Soung, J. (2015). Exploring Alternate Modalities for Tag Recommendation. In: Schwenker, F., Scherer, S., Morency, LP. (eds) Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. MPRSS 2014. Lecture Notes in Computer Science(), vol 8869. Springer, Cham. https://doi.org/10.1007/978-3-319-14899-1_14

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  • DOI: https://doi.org/10.1007/978-3-319-14899-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14898-4

  • Online ISBN: 978-3-319-14899-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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