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If It’s Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations

Authors:

Afsaneh Doryab,

Victoria Bellotti,

Alaaeddine Yousfi,

John M. Carroll,

Anind K. DeyAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 3

Article No.: 48, Pages 1 - 28

https://doi.org/10.1145/3130913

Published: 11 September 2017 Publication History

Abstract

Peer-to-Peer Variable Service Transaction (P2P-VST) systems enable people to offer and receive help with a wide range of task types. However, such services are hampered by the difficulty of finding relevant and convenient opportunities for transactions in a timely fashion. Many transaction opportunities are missed as a consequence of members not being aware of offers and/or requests from people nearby or en route that match their needs and/or abilities. In this paper, we explore the impact of context-awareness on P2P-VSTs to address this problem. Using mobile technology and an in situ study, we evaluate how recommending service requests targeted at a person’s context impacts their willingness to enter a transaction. Our results show that, even when people have not actively volunteered for a service, they are significantly more likely to accept a transaction opportunity if it is convenient for them in terms of time and location. These findings demonstrate how context-aware technology holds the promise of increasing the efficiency and activity level in P2P-VST systems.

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Cited By

Mukherjee ARangaraja P. SVander Meer DDutta K(2023)Domain-independent real-time service provisioning in digital platformsDecision Support Systems10.1016/j.dss.2023.113927167:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.dss.2023.113927
Shahriari-Mehr GDelavar MClaramunt CAraabi BDehaqani M(2021)A store location-based recommender system using user’s position and web searchesJournal of Location Based Services10.1080/17489725.2021.1880029(1-24)Online publication date: 4-Feb-2021
https://doi.org/10.1080/17489725.2021.1880029
Palomares IPorcel CPizzato LGuy IHerrera-Viedma E(2021)Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendationInformation Fusion10.1016/j.inffus.2020.12.00169(103-127)Online publication date: May-2021
https://doi.org/10.1016/j.inffus.2020.12.001
Show More Cited By

Index Terms

If It’s Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social recommendation
    2. Empirical studies in collaborative and social computing
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 3

September 2017

2023 pages

EISSN:2474-9567

DOI:10.1145/3139486

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Copyright © 2017 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: 11 September 2017

Accepted: 01 June 2017

Revised: 01 May 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 3

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Cited By

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https://dl.acm.org/doi/10.1016/j.dss.2023.113927
Shahriari-Mehr GDelavar MClaramunt CAraabi BDehaqani M(2021)A store location-based recommender system using user’s position and web searchesJournal of Location Based Services10.1080/17489725.2021.1880029(1-24)Online publication date: 4-Feb-2021
https://doi.org/10.1080/17489725.2021.1880029
Palomares IPorcel CPizzato LGuy IHerrera-Viedma E(2021)Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendationInformation Fusion10.1016/j.inffus.2020.12.00169(103-127)Online publication date: May-2021
https://doi.org/10.1016/j.inffus.2020.12.001
Mendel TToch E(2020)My Mom was Getting this PopupProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33698213:4(1-20)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.1145/3369821
Nilsson TFischer JCrabtree AGoulden MSpence JCostanza EWakkary RAndersen KOdom WDesjardins APetersen M(2020)Visions, Values, and VideosProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395476(827-839)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395476
Chen JDoryab AHanrahan BYousfi ABeck JWang XBellotti VDey ACarroll J(2019)Context-Aware Coproduction: Implications for Recommendation AlgorithmsInformation in Contemporary Society10.1007/978-3-030-15742-5_54(565-577)Online publication date: 13-Mar-2019
https://doi.org/10.1007/978-3-030-15742-5_54
Kim YGergle DZhang HMandryk RHancock MPerry MCox A(2018)Hit-or-WaitProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173670(1-12)Online publication date: 21-Apr-2018
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Haruna KAkmar Ismail MSuhendroyono SDamiasih DPierewan AChiroma HHerawan T(2017)Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research DirectionApplied Sciences10.3390/app71212117:12(1211)Online publication date: 5-Dec-2017
https://doi.org/10.3390/app7121211

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