A collaborative filtering method for music recommendation using playing coefficients for artists and users

Sánchez-Moreno, Diego; González, Ana Belén Gil; Vicente, María Dolores Muñoz; Batista, Vivian F. López; García, María N. Moreno

doi:10.1016/j.eswa.2016.09.019

Cited by 101 publications

(32 citation statements)

References 26 publications

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“…Furthermore, Rodríguez, Torres, and Garza () proposed an approach that tackles contact recommendation in Twitter by means of fuzzy logic. Sánchez‐Moreno, González, Vicente, Batista, and García () applied the collaborative filtering approach to music recommendations for both rating predation and item recommendation. Ezghari, Zahi, and Zenkouar () introduced the novel fuzzy nearest neighbour classification method and described the domain features by FSs.…”

Section: Literature Reviewmentioning

confidence: 99%

A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three‐way decision theory

Yan

Liu

et al. 2019

Expert Systems

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Patients always want a precise diagnosis and appropriate treatment advice when they are diagnosed with a disease. Furthermore, the original information about certain features and symptoms appears in different forms, and the effect of time is always ignored in the process of diagnosis. To overcome these defects, this paper develops a systematic multiperiod hybrid decision support model, which combines the similarity measurement and three‐way decision theory to provide prediction and treatment advice for patients under the fuzzy environment. This multiperiod hybrid decision support model, which considers the effect of time, including transformation module, multiperiod integration module, similarity module, prediction module, and three‐way decision module, provides disease prediction and advice on treatment based on similarities and three‐way decision theory. To validate this model, we construct an illustration composed of four cases, and this ultimately shows that MPH‐SDM can effectively support patients' disease diagnoses and treatment.

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Section: Literature Reviewmentioning

confidence: 99%

A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three‐way decision theory

Yan

Liu

et al. 2019

Expert Systems

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“…Materi dengan rating tinggi akan menjadi rekomendasi bagi audiens untuk mendapatkan ilmu/pengetahuan sesuai yang diinginkannya. Penggunaan sistem rekomendasi ini menjadi sangat penting guna memfilter sejumlah besar materi yang tersedia menjadi beberapa materi yang berkualitas [11]- [13]. Tentu dalam proses filter tersebut digunakan sistem rekomendasi yang pantas untuk mendapatkan hasil yang sesuai.…”

Section: Metode Penelitianunclassified

Kelas Cendekia Versi Mobile yang Terintegrasi dengan Sistem Rekomendasi

Abdurrahmansyah

Timur

2018

Indonesian J. Electron. Instrum. Syst.

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Urgency usefulness of online learning system based on social constructivism which is the mobile virtual classroom learning philosophy is of concern, because the system is built on the pattern of reciprocity between users in order to produce the most quality materials see the absence of a system that provides online learning for it. Content of lecture materials that have been divided into certain categories are processed into virtual versions and delivered lightly. The recommendation system is designed to respond users who have rated it by providing good quality course material. Software is created with Unity Engine and incorporated the recommended system protocol with data stored in a scholarly research database. The recommendation system implemented is the items based collaborative filtering with the specification of training data used are 401 rating data, 51 records and 17 users. With sparsity data training amounted to 53.74%, tested the prediction accuracy resulted RMSE 0.91523 and the accuracy of 81.69%. The mobile version of virtual class that has been planted with recommendation system is tried and tested on several brands of android smartphone. Results obtained on the questionnaire resulted in a rating of 4,762 on performance and 4,572 against the intellectual class software interface. Whereas the level of user enthusiasm for the virtual class reaches 4,0588 on a scale of 1 to 5.

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“…However, some important problems, such as the difficulty of extracting content information from music, must be addressed in order to give reliable recommendations. Sánchez-Moreno et al [25] propose a recommendation method based on playing coefficients to deal with gray sheep and sparsity problems without needing user attributes, content data, and explicit ratings from users, and the proposal is proved to outperform the methods that make use of user attributes. Meanwhile, content personalization is a long-standing problem for online news services.…”

Section: Recommendation Research On E-resource Servicementioning

confidence: 99%

Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process

Zhang

2017

Mathematical Problems in Engineering

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Open source design (OSD) is an emerging mode of product design. In OSD process, how to select right tasks directly influences the efficiency and quality of task completion, hence impacting the whole evolution process of OSD. In this paper, designer’s bidirectional behavior of task selection integrating passive selection based on website recommendation and autonomous selection is modeled. First, the model of passive selection behavior by website recommendation is proposed with application of collaborative filtering algorithm, based on a three-dimensional matrix including information of design agents, tasks, and skills; second, the model of autonomous selection behavior is described in consideration of factors such as skill and incentive; third, the model of bidirectional selection behavior is described integrating the aforementioned two selection algorithms. At last, contrast simulation analysis of bidirectional selection, passive selection based on website recommendation, and autonomous selection is proposed with ANOVA, and results show that task selection behavior has significant effect on OSD evolution process and that bidirectional selection behavior is more effective to shorten evolution cycle according to the experiment settings. In addition, the simulation study testifies the model of bidirectional selection by describing the task selection process of OSD in microperspective.

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A collaborative filtering method for music recommendation using playing coefficients for artists and users

Cited by 101 publications

References 26 publications

A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three‐way decision theory

A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three‐way decision theory

Kelas Cendekia Versi Mobile yang Terintegrasi dengan Sistem Rekomendasi

Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process

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