research-article

Care to Share?: Learning to Rank Personal Photos for Public Sharing

Authors:

Idan SzpektorAuthors Info & Claims

WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

Pages 207 - 215

https://doi.org/10.1145/3159652.3159713

Published: 02 February 2018 Publication History

Abstract

With mobile devices, users are taking ever-growing numbers of photos every day. These photos are uploaded to social sites such as Facebook and Flickr, often automatically. Yet, the portion of these uploaded photos being publicly shared is low, and on a constant decline. Deciding which photo to share takes considerable time and attention, and many users would rather forfeit the social interaction and engagement than sift through their piles of uploaded photos. In this paper, we introduce a novel task of recommending socially-engaging photos to their creators for public sharing. This will turn a tedious manual chore into a quick, software-assisted process. We provide extensive analysis over a large-scale dataset from the Flickr photo sharing website, which reveals some of the traits of photo sharing in such sites. Additionally, we present a ranking algorithm for the task that comprises three steps:(a) grouping of near-duplicate photos;(b) ranking the photos in each group by their "shareability"; and(c) ranking the groups by their likelihood to contain a shareable photo. A large-scale experiment allows us to evaluate our algorithm and show its benefits compared to competitive baselines and algorithmic alternatives.

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Cited By

Wu TLuo TWunsch D(2022)Learning Deep Representations via Contrastive Learning for Instance Retrieval2022 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI51031.2022.10022224(1501-1506)Online publication date: 4-Dec-2022
https://doi.org/10.1109/SSCI51031.2022.10022224
Revaud JAlmazan JRezende RSouza C(2019)Learning With Average Precision: Training Image Retrieval With a Listwise Loss2019 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV.2019.00521(5106-5115)Online publication date: Oct-2019
https://doi.org/10.1109/ICCV.2019.00521
Bendersky MWang XNajork MMetzler D(2018)Learning with sparse and biased feedback for personal searchProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304652.3304738(5219-5223)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3304652.3304738

Index Terms

Care to Share?: Learning to Rank Personal Photos for Public Sharing

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Published In

cover image ACM Conferences

WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

February 2018

821 pages

ISBN:9781450355810

DOI:10.1145/3159652

General Chairs:
Yi Chang
Jilin University, Huawei Inc.
,
Chengxiang Zhai
University of Illinois Urbana-Champaign
,
Program Chairs:
Yan Liu
University of Southern California
,
Yoelle Maarek
Amazon

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 02 February 2018

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WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining

February 5 - 9, 2018

CA, Marina Del Rey, USA

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WSDM '18 Paper Acceptance Rate 81 of 514 submissions, 16%;

Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Cited By

Wu TLuo TWunsch D(2022)Learning Deep Representations via Contrastive Learning for Instance Retrieval2022 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI51031.2022.10022224(1501-1506)Online publication date: 4-Dec-2022
https://doi.org/10.1109/SSCI51031.2022.10022224
Revaud JAlmazan JRezende RSouza C(2019)Learning With Average Precision: Training Image Retrieval With a Listwise Loss2019 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV.2019.00521(5106-5115)Online publication date: Oct-2019
https://doi.org/10.1109/ICCV.2019.00521
Bendersky MWang XNajork MMetzler D(2018)Learning with sparse and biased feedback for personal searchProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304652.3304738(5219-5223)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3304652.3304738

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