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相关论文: The Topology of Music Recommendation Networks

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The abstraction of musical structures (notes, melodies, chords, harmonic or rhythmic progressions, etc.) as mathematical objects in a geometrical space is one of the great accomplishments of contemporary music theory. Building on this…

声音 · 计算机科学 2019-05-07 Marco Buongiorno Nardelli

We analyze the existence of community structures in two different social networks obtained from similarity and collaborative features between musical artists. Our analysis reveals some characteristic organizational patterns and provides…

物理与社会 · 物理学 2009-11-13 T. Teitelbaum , P. Balenzuela , P. Cano , J. M. Buldu

Understanding how cognitive and social mechanisms shape the evolution of complex artifacts such as songs is central to cultural evolution research. Social network topology (what artifacts are available?), selection (which are chosen?), and…

社会与信息网络 · 计算机科学 2025-02-19 Raja Marjieh , Manuel Anglada-Tort , Thomas L. Griffiths , Nori Jacoby

This paper focuses on the modeling of musical melodies as networks. Notes of a melody can be treated as nodes of a network. Connections are created whenever notes are played in sequence. We analyze some main tracks coming from different…

声音 · 计算机科学 2017-09-29 Stefano Ferretti

Topological properties of networks are widely applied to study the link-prediction problem recently. Common Neighbors, for example, is a natural yet efficient framework. Many variants of Common Neighbors have been thus proposed to further…

社会与信息网络 · 计算机科学 2014-09-18 Fei Tan , Yongxiang Xia , Boyao Zhu

The way the topological structure goes from a decoupled state into a coupled one in multiplex networks has been widely studied by means of analytical and numerical studies, involving models of artificial networks. In general, these…

物理与社会 · 物理学 2018-08-15 Johann H. Martínez , Stefano Boccaletti , Vladimir V. Makarov , Javier M. Buldú

The advent of Internet and World Wide Web has led to unprecedent growth of the information available. People usually face the information overload by following a limited number of sources which best fit their interests. It has thus become…

物理与社会 · 物理学 2015-05-28 Giulio Cimini , Duanbing Chen , Matus Medo , Linyuan Lu , Yi-Cheng Zhang , Tao Zhou

We present an analysis of the topologies of a class of networks which are optimal in terms of the requirements of having as short a route as possible between any two nodes while yet keeping the congestion in the network as low as possible.…

统计力学 · 物理学 2009-11-10 Vittoria Colizza , Jayanth R. Banavar , Amos Maritan , Andrea Rinaldo

Recommendation plays a key role in e-commerce and in the entertainment industry. We propose to consider successive recommendations to users under the form of graphs of recommendations. We give models for this representation. Motivated by…

社会与信息网络 · 计算机科学 2017-05-01 Erwan Le Merrer , Gilles Trédan

Web services growth makes the composition process a hard task to solve. This numerous interacting elements can be adequately represented by a network. Discovery and composition can benefit from the knowledge of the network structure. In…

软件工程 · 计算机科学 2013-05-02 Chantal Cherifi , Jean-Francois Santucci

As music streaming services dominate the music industry, the playlist is becoming an increasingly crucial element of music consumption. Con- sequently, the music recommendation problem is often casted as a playlist generation prob- lem.…

多媒体 · 计算机科学 2015-11-24 Keunwoo Choi , George Fazekas , Mark Sandler

Music recommender systems have become a key technology supporting the access to increasingly larger music catalogs in on-line music streaming services, on-line music shops, and private collections. The interaction of users with large music…

信息检索 · 计算机科学 2018-07-17 Andreu Vall , Gerhard Widmer

Networked structure emerged from a wide range of fields such as biological systems, World Wide Web and technological infrastructure. A deeply insight into the topological complexity of these networks has been gained. Some works start to pay…

物理与社会 · 物理学 2012-02-03 Jiang Xiongfei

The artist similarity quest has become a crucial subject in social and scientific contexts, driven by the desire to enhance music discovery according to user preferences. Modern research solutions facilitate music discovery according to…

信息检索 · 计算机科学 2025-06-27 Andrea Giuseppe Di Francesco , Giuliano Giampietro , Indro Spinelli , Danilo Comminiello

Recently, graph neural networks (GNNs)-based recommender systems have encountered great success in recommendation. As the number of GNNs approaches rises, some works have started questioning the theoretical and empirical reasons behind…

The task of a music recommender system is to predict what music item a particular user would like to listen to next. This position paper discusses the main challenges of the music preference prediction task: the lack of information on the…

人机交互 · 计算机科学 2019-11-19 Christine Bauer

Syntax connects words to each other in very specific ways. Two words are syntactically connected if they depend directly on each other. Syntactic connections usually happen within a sentence. Gathering all those connection across several…

计算与语言 · 计算机科学 2025-03-11 Juan Soria-Postigo , Luis F Seoane

In order to deal efficiently with the exponential growth of the Web services landscape in composition life cycle activities, it is necessary to have a clear view of its main features. As for many situations where there is a lot of…

软件工程 · 计算机科学 2013-05-03 Chantal Cherifi , Jean-François Santucci

Recommender systems associated with social networks often use social explanations (e.g. "X, Y and 2 friends like this") to support the recommendations. We present a study of the effects of these social explanations in a music recommendation…

社会与信息网络 · 计算机科学 2013-04-18 Amit Sharma , Dan Cosley

In this paper we analyze two social network datasets of contemporary musicians constructed from allmusic.com (AMG), a music and artists' information database: one is the collaboration network in which two musicians are connected if they…

物理与社会 · 物理学 2015-06-26 Juyong Park , Oscar Celma , Markus Koppenberger , Pedro Cano , Javier M. Buldú
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