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Music Alters Visual Perception

Jacob Jolij, Maaike Meurs, Joseph Najbauer
2011 PLoS ONE  
Therefore, according to strictly expectancy-driven models of predictive coding in vision, mood should not have had an effect.  ...  [11] [12] [13] [14] Logically, predictive coding models of vision assume that the brain's predictions are purely generated on basis of 'factual knowledge' and statistical inference. 4 This assumption  ... 
doi:10.1371/journal.pone.0018861 pmid:21533041 pmcid:PMC3080883 fatcat:dfhsvvi7cbhdtmszvyboye5eg4

Musical Track Popularity Mining Dataset [chapter]

Ioannis Karydis, Aggelos Gkiokas, Vassilis Katsouros
2016 IFIP Advances in Information and Communication Technology  
Music Information Research requires access to real musical content in order to test efficiency and effectiveness of its methods as well as to compare developed methodologies on common data.  ...  Existing sources of musical popularity do not provide easily manageable data and no standardised dataset exists.  ...  content, the creation of an API for the dissemination of the dataset's information, an automated collection of up-to-date popularity information process and the expansion of the sources by addition of social  ... 
doi:10.1007/978-3-319-44944-9_50 fatcat:trlzvy54tjdj5hv4wnsjc7ckii

Red Black Network: Temporal and Topological Analysis of Two Intertwined Social Networks

Saurav Pandit, Jonathan Koch, Yang Yang, Brian Uzzi, Nitesh V. Chawla
2013 MILCOM 2013 - 2013 IEEE Military Communications Conference  
This also sets up a framework for our ultimate goal of temporal, semi-blind, multi-relational link prediction.  ...  Using temporal data from the performing arts industry, we study the co-evolution of two such co-dependent social networks.  ...  For the purpose of data cleaning, these metrics for the performance of a musical is reduced to a hit or fail classifier.  ... 
doi:10.1109/milcom.2013.128 dblp:conf/milcom/PanditKYUC13 fatcat:impyapi5mzhz7fqrn7nourv26q

LiPS: Efficient P2P Search Scheme with Novel Link Prediction Techniques

Y. Zhang, G. Shen, Y. Yu
2007 2007 IEEE International Conference on Communications  
Trace-driven simulation results demonstrate the proposed link predictors and the effectiveness of LiPS.  ...  In this paper, we present LiPS: an efficient P2P search scheme with novel link prediction techniques.  ...  The model is utilized to create social network akin overlay networks by connecting users with same music style preference.  ... 
doi:10.1109/icc.2007.312 dblp:conf/icc/ZhangSY07 fatcat:ankcy6ip3jgnzkwlbkcfmvjea4

The winner takes all: Standardization and console games

David B. Nieborg
2011 Conference of the Digital Games Research Association  
The hit-driven nature of contemporary console publishing translates into a particular mode of cultural production and circulation affecting all aspects of the video game's cultural form.  ...  While blockbuster games are considered to be highly innovative by constantly pushing technological boundaries, they are also considered to be formulaic and its themes and game mechanics fairly predictable  ...  On the contrary, hits are as much a cultural phenomenon as they are economically motivated and driven by technological innovations.  ... 
dblp:conf/digra/Nieborg11 fatcat:i5gucbc7ajczdmyutg7gwxsgsu

Musical friends and foes: The social cognition of affiliation and control in improvised interactions

Jean-Julien Aucouturier, Clément Canonne
2017 Cognition  
A recently emerging view in music cognition holds that music is not only social and participatory in its production, but also in its perception, i.e. that music is in fact perceived as the sonic trace  ...  dimension of social behaviour and musical harmonic coordination on the one hand, and between the control dimension and musical temporal coordination on the other hand.  ...  of social knowing or ''we-mode" representations primed within the individual by the context of the interaction (Gallotti & Frith, 2013) , or whether the added social knowledge directly resides in the  ... 
doi:10.1016/j.cognition.2017.01.019 pmid:28167396 pmcid:PMC5348120 fatcat:7mj4eyb72fhnppsidb72g32mpy

Non-translational Alignment for Multi-relational Networks

Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Most existing solutions for the alignment of multi-relational networks, such as multi-lingual knowledge bases, are "translation"-based which facilitate the network embedding via the trans-family, such  ...  The extensive experiments on four multi-lingual knowledge graphs demonstrate the effectiveness and robustness of the proposed method over a set of state-of-the-art alignment methods.  ...  Recent advance of network alignment methodologies has mainly been driven by social networks and knowledge graphs with the aim of fusing networks for more complete/compact information.  ... 
doi:10.24963/ijcai.2018/581 dblp:conf/ijcai/LiLYWSO18 fatcat:w3youzngtfdmllinpsdsylvcpe

Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning

Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2022 Sensors  
The development of music streaming platforms has transformed the social dynamics of music consumption and paved a new way of accessing and listening to music.  ...  In this study, we propose a novel music playlist generation method based on a knowledge graph and reinforcement learning.  ...  the social dynamics of music consumption and paved a new way to access and listen to music [4] [5] [6] .  ... 
doi:10.3390/s22103722 pmid:35632130 pmcid:PMC9144078 fatcat:2hxfod6vdfbgpgah44getnt4rq

Modelling song popularity asacontagious process

Dora P. Rosati, Matthew H. Woolhouse, Benjamin M. Bolker, David J. D. Earn
2021 Proceedings of the Royal Society A  
This suggests that the social processes underlying song popularity are similar to those that drive infectious disease transmission.  ...  We would like to thank past and present members of the Earnlab (https://davidearn. and the Digital Music Laboratory ( for useful discussions and comments, and  ...  While there may be specific musical characteristics that predict popularity, social processes also affect how a song gains popularity.  ... 
doi:10.1098/rspa.2021.0457 pmid:35153583 pmcid:PMC8455174 fatcat:gzdrm3moujhnfjp2persfm7uje

Western listeners detect boundary hierarchy in Indian music: a segmentation study

Tudor Popescu, Richard Widdess, Martin Rohrmeier
2021 Scientific Reports  
We found substantial agreement—expressed as hit rates and click densities—among participants, and between participants' and experts' segmentations.  ...  Here, we focused on the case of Indian music, and asked 65 Western listeners (of mixed levels of musical training; most unfamiliar with Indian music) to intuitively segment into phrases a recording of  ...  Acknowledgements We express our thanks to Dharambir Singh MBE for recording the music used in this study, and for his subsequent input.  ... 
doi:10.1038/s41598-021-82629-y pmid:33542358 fatcat:eszx2vz5hndmpgkfgjl766ebzi

Music Recommender System Using ChatBot

Shivam Sakore
2021 International Journal for Research in Applied Science and Engineering Technology  
Abstract: In this era of technological advances, text-based music recommendations are much needed as they will help humans relieve stress with soothing music according to their moods.  ...  We have used IBM Analyser to check the text tone of the user and to predict the mood based on the text of the user, and Last.FM API to recommend songs based on themood of the user.  ...  As long as there are drums hitting on beats where the music is louder than on off beats without drums, these hits should be easy to detect.  ... 
doi:10.22214/ijraset.2021.39717 fatcat:ylggk6oxmja4pj6yfj5qodr3h4

Mashup-Oriented API Recommendation via Random Walk on Knowledge Graph

Xin Wang, Hao Wu, Ching-Hsien Hsu
2019 IEEE Access  
INDEX TERMS Mashup development, API recommendation, random walks with restart, knowledge graph.  ...  In addition, we propose the query-specific weighting strategies to enhance the knowledge graph construction.  ...  Respin allows music lovers to import any of their hand crafted playlists into Rdio, where the keywords include Music, Social, Playlists, Rdio and Streaming.  ... 
doi:10.1109/access.2018.2890156 fatcat:p3yz7245kfhehdhpvceixq75eq

Predicting content consumption from content-to-content relationships

Jinyoung Han, Daejin Choi, Taejoong Chung, Chen-Nee Chuah, Hyun-chul Kim, Ted "Taekyoung" Kwon
2019 Journal of Network and Computer Applications  
An accurate prediction on future content consumption is essential for such demand.  ...  Our trace-driven study demonstrates that the proposed CN model is useful * Corresponding Authors,  ...  Google introduced the knowledge graph [51] whose vertices are knowledge (or keywords) for enhancing the search engine.  ... 
doi:10.1016/j.jnca.2019.01.030 fatcat:o2kuxtm5sney5ezjh3z3zdi7dq

The same old song: The power of familiarity in music choice

Morgan K. Ward, Joseph K. Goodman, Julie R. Irwin
2013 Marketing letters  
We show that although consumers say they would prefer to listen to unfamiliar music, in actuality familiarity with music positively predicts preference for songs, play lists, and radio stations.  ...  We suggest that the need for familiarity is driven by consumers' low need for stimulation in the music domain, and show that when the need for stimulation decreases, the power of familiarity significantly  ...  The five stations were each described with common radio marketing phrases indicating whether the station played relatively familiar music or novel music (e.g., "The Hot Hits Station-we play the hottest  ... 
doi:10.1007/s11002-013-9238-1 fatcat:3m5xhndmg5hhlc5u3n6x2pmfuy

Datafication and the push for ubiquitous listening in music streaming

Rasmus Rex Pedersen
2020 MedieKultur: Journal of Media and Communication Research  
The article explores how datafication is connected to Spotify'spush for the personalization and contextualization of music recommendationsbased on a combination of the cultural knowledge found in editorial  ...  This article discusses Spotify's approach to music recommendation as dataficationof listening. It discusses the hybrid types of music recommendation that Spotifypresents to users.  ...  in which data are used to provide knowledge about the musical content, the users, the users' musical tastes, and how these tastes are intricately related to the social and emotional practices of listening  ... 
doi:10.7146/mediekultur.v36i69.121216 fatcat:jpptdkhbh5cn3drm22vj33c5ea
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