Towards a Personalised Recommender Platform for Sportswomen

Santos-Gago, Juan M.; Sabucedo, Luis Álvarez; González-Maciel, Roberto; Alonso-Rorís, Víctor M.; García-Soidán, José Luis; Wanden-Berghe, C.; Sanz-Valero, Javier

doi:10.1007/978-3-030-16181-1_48

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…Dobrican and Zampuniéris (2016) focus on cardiac patients with the goal of rehabilitation and, thereby, aims to provide the optimum of both automated and manual interventions (McMurray et al 1787). Santos-Gago et al suggest making personalized recommendations to sportswomen by considering their menstrual cycle (Santos-Gago et al 2019). Berndsen et al (2019), , propose supporting users in marathon preparation using recommender systems that suggest to runners a challenging, but achievable goal-time in addition to a tailored plan based on a pace.…”

Section: Recommender Systems For Health and Wellnessmentioning

confidence: 99%

Fair performance-based user recommendation in eCoaching systems

Boratto

Carta

Iguider

et al. 2022

User Model User-Adap Inter

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Offering timely support to users in eCoaching systems is a key factor to keep them engaged. However, coaches usually follow a lot of users, so it is hard for them to prioritize those with whom they should interact first. Timeliness is especially needed when health implications might be the consequence of a lack of support. In this paper, we focus on this last scenario, by considering an eCoaching platform for runners. Our goal is to provide a coach with a ranked list of users, according to the support they need. Moreover, we want to guarantee a fair exposure in the ranking, to make sure that users of different groups have equal opportunities to get supported. In order to do so, we first model their performance and running behavior and then present a ranking algorithm to recommend users to coaches, according to their performance in the last running session and the quality of the previous ones. We provide measures of fairness that allow us to assess the exposure of users of different groups in the ranking and propose a re-ranking algorithm to guarantee a fair exposure. Experiments on data coming from the previously mentioned platform for runners show the effectiveness of our approach on standard metrics for ranking quality assessment and its capability to provide a fair exposure to users. The source code and the preprocessed datasets are available at: https://github.com/wiguider/Fair-Performance-based-User-Recommendation-in-eCoaching-Systems.

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Section: Recommender Systems For Health and Wellnessmentioning

confidence: 99%

Fair performance-based user recommendation in eCoaching systems

Boratto

Carta

Iguider

et al. 2022

User Model User-Adap Inter

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“…powerfully and autonomously develop visual parts, thinking of new strategies to show user information. Santos [20] utilize a range of ordinary mobile phones, respectively iOS and Android systems. With PWA, everything is discoverable, shareable, linkable, and rankable.…”

Section: (Rq1) What Are the Adopted Practices Of Progressive Web Apps?mentioning

confidence: 99%

“…Freq. Architecture [19][20][21][22] 4 Framework requirement [1,6,[23][24][25][26][27][28] 8 Network Connection [5,29] 2 Security [30] 1 Tools requirement [2,7,25,27,[31][32][33][34][35][36][37][38] 12 User experience [39][40][41][42] 4…”

Section: Practicementioning

confidence: 99%

See 1 more Smart Citation

A Systematic Literature Review on Progressive Web Application Practice and Challenges

Fauzan¹,

Krisnahati

Nurwibowo

et al. 2022

JTS

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This research aims to establish a knowledge of Progressive Web Application (PWA) method practices based on published empirical investigation, the problems that the PWA method may face, and the PWA method's approach to experimental studies. We also looked for PWA practices that might address the issues with the prior method.We performed a broad, automated search to find SLRs and 43 papers published from 1 January 2015 to 6 November 2021 that discuss PWA. Specific inclusion and exclusion criteria were applied to determine which relevant studies we used for our research purposes. The review identified 31 practices of PWA, Six challenges of the previous approach of mobile application development that get resolved by PWA, and seven challenges posed by the practice of PWA. PWA was introduced in 2015, and since 2017 the studies on PWA topics have started increasing. The distribution of studies based on nations is spread evenly. 74% of selected studies are about the practice of the PWA. Although it cannot be generalized that the PWA approach handles the challenge of the previous method, some studies reported that PWA covers the problems of the previous methods. However, despite its benefits, PWA still has some challenges, mostly related to browser support.

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“…This article presents SportsWoman, a telematics platform whose objective is to facilitate the monitoring and collection of information related to the menstrual cycle and, based on it, generate daily personalised recommendations for women who practice sports. The article is an extension of the work [5], which was previously presented at the 7th World Conference on Information Systems and Technologies (WorldCist '19). The article is organised into 7 sections.…”

Section: Introductionmentioning

confidence: 99%

SportsWoman: A semantic-based recommender platform for women who practice sports

Santos-Gago

Sabucedo

Alonso-Rorís³

et al. 2019

JADI

Self Cite

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This article introduces SportWoman, a telematic application aimed at giving support in the form of recommendations to women who practice sports, whether professional or amateur or even sporadic practitioners of sports or fitness activities. The platform tries to cover the gap of woman personalization left by mobile applications supporting sports and fitness that currently exist in the market by taking into account the menstrual cycle of women and how this cycle affects them individually. SportsWoman was designed as an Expert System in which information is stored in a Knowledge Base using semantic technologies. In the proposed platform, the knowledge of specialists (physicians and researchers of sports science) is expressed using a particular ontology and a set of rules that, in turn, determine the daily recommendations for each user. SportsWoman has been tested and evaluated by 34 athletes through the well-known System Usability Scale, obtaining a value of 86, which corresponds to an acceptable level of usability with a grade B.

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Towards a Personalised Recommender Platform for Sportswomen

Cited by 5 publications

References 7 publications

Fair performance-based user recommendation in eCoaching systems

Fair performance-based user recommendation in eCoaching systems

A Systematic Literature Review on Progressive Web Application Practice and Challenges

SportsWoman: A semantic-based recommender platform for women who practice sports

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