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Sound and Music Recommendation with Knowledge Graphs

Sergio Oramas, Vito Claudio Ostuni, Tommaso Di Noia, Xavier Serra, Eugenio Di Sciascio
2016 ACM Transactions on Intelligent Systems and Technology  
In this work we describe how to create and exploit a knowledge graph to supply a hybrid recommendation engine with information that builds on top of a collections of documents describing musical and sound  ...  A dataset of sounds composed by tags, textual descriptions and user's download information gathered from Freesound.org, and a dataset of songs that mixes song textual descriptions with tags and user's  ...  CONCLUSION We have presented a hybrid approach to recommend musical items, i.e. sounds and songs, by exploiting the information encoded within a knowledge graph.  ... 
doi:10.1145/2926718 fatcat:z4m4rqda65g45ju46j4dybyq3y

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases.  ...  In this thesis, we address the problems of classifying and recommending music present in large collections.  ...  Sound and Music Recommendation with Knowledge Graphs Introduction In this chapter we tackle the problem of computing sound and music recommendations following a hybrid approach that leverages semantic  ... 
doi:10.5281/zenodo.1048497 fatcat:kdh5jhvocbh3riwln6n2f756su

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases.  ...  In this thesis, we address the problems of classifying and recommending music present in large collections.  ...  Sound and Music Recommendation with Knowledge Graphs Introduction In this chapter we tackle the problem of computing sound and music recommendations following a hybrid approach that leverages semantic  ... 
doi:10.5281/zenodo.1100973 fatcat:yfpmc6qxbbakjp6qzvywyoaoci

Hybrid Music Recommendation Algorithm Based on Music Gene and Improved Knowledge Graph

Tingting Zhang, Shengnan Liu, Chin-Ling Chen
2022 Security and Communication Networks  
The advantages of music gene and knowledge graph-based recommendation algorithms are combined via this method.  ...  Combining music as a specific recommendation object, a hybrid recommendation algorithm based on music genes and improved knowledge graph is proposed for the traditional single recommendation algorithm  ...  recommendation algorithm based on music gene and improved knowledge graph. e algorithm mixes music gene-based recommendation with improved knowledge graph algorithm by weighting.  ... 
doi:10.1155/2022/5889724 fatcat:x6xngsp5grdurpziwg3tqvi72m

MusicKG: Representations of Sound and Music in the Middle Ages as Linked Open Data [chapter]

Victoria Eyharabide, Vincent Lully, Florentin Morel
2019 Lecture Notes in Computer Science  
In this paper, we present MusicKG, a multilingual knowledge graph about medieval musicology and musical iconography.  ...  In addition, MusicKG is connected to the Linked Open Data cloud with a significant part of its classes, properties and instances being linked to Wikidata, Getty Vocabularies, MIMO, Iconclass and GeoNames  ...  Conclusion and Future Work In this paper, we presented MusicKG, a multilingual cultural heritage knowledge graph containing representations of sound and music in the Middle Ages.  ... 
doi:10.1007/978-3-030-33220-4_5 fatcat:cewrg3ihivhe3avw44uqwzvdte

CONDITIONAL SEMANTIC MUSIC GENERATION IN A CONTEXT OF VR PROJECT "GRAPHS IN HARMONY LEARNING"

Anna Shvets, Samer Darkazanli, Tiffon Vincent, Bell Jonathan, de Paiva Santana Charles
2022 Zenodo  
The usage of LSTM, ConvLSTM and conditional GAN with convolutional 1D layers for semantic music generation is discussed.  ...  The efficiency of the novel data encoding scheme, along with the design patterns based on the system of graphs, are shown.  ...  It also proposes the systematization of musical knowledge in a non-verbal representation, compatible with immersive worlds.  ... 
doi:10.5281/zenodo.6668965 fatcat:vgz64v3cdze27ktvrwelvnpwt4

Sonification and music as support to the communication of alcohol-related health risks to young people

Bartlomiej P. Walus, Sandra Pauletto, Amanda Mason-Jones
2016 Journal on Multimodal User Interfaces  
However, there was no difference between the intervention groups that experienced (1) visual presentation with interactivity (VI-Exp group) and, (2) visual presentation with audio (sonification and music  ...  We evaluated an innovative multimedia intervention that utilised audio (sonification-using sound to display data-and music) and interactivity to support the visual communication of alcohol health risk  ...  The final intervention included slides with text only, images and data, different types of graphs such as bar graphs and line graphs-see online resource OnRes2.  ... 
doi:10.1007/s12193-016-0220-0 fatcat:kittmuwrifaarg6fkelwwblfni

D2.4: Methods for interlinking knowledge graphs (V1.0)

Albert Meroño Peñuela, Jacopo De Berardinis, Fiorela Ciroku, Valentina Carriero, Mari Wigham, Enrico Daga, Eleanora Marzi, Elena Musumeci, Peter Van Kranenburg, Andrea Scharnhorst, James McDermott, Philippe Rigaux (+2 others)
2022 Zenodo  
Network and the SPARQL Anything tool; and (c) a music knowledge graph interlinking framework, based on both heuristics and neural network-based link prediction through music knowledge graph embeddings  ...  One of the key missions of the Polifonia project is to build and interlink knowledge graphs of European musical cultural heritage.  ...  with the 78 RPM collection -contributed by the Netherlands Institute for Sound and Vision (NISV); but also, MIR datasets and music knowledge graphs providing melodic content -such as the MIDI LD [11]  ... 
doi:10.5281/zenodo.7116793 fatcat:f2ihdj2wtfbt3i4ohbprsu2o2y

3D Printing: The Effect of Adapted Mallets on the Participation of Children with Severe and Multiple Disabilities

Vienna Sa
2020 Pacific journal of health  
The two measures of participation were: decibel level (dB) and frequency of sound produced.  ...  Three children between the ages of 5 and 11 years old participated in a single music therapy session testing four different popular adapted mallets, and a control mallet.  ...  A larger sample size would truly benefit the general body of knowledge and make the results more generalizable for the public/ music therapists to reliably trust and use.  ... 
doi:10.56031/2576-215x.1005 fatcat:pyiexaanibambb7aw5xanhulvi

Knowledge-based music retrieval for places of interest

Marius Kaminskas, Ignacio Fernández-Tobías, Francesco Ricci, Iván Cantador
2012 Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies - MIRUM '12  
Graphbased algorithms are used for ranking and filtering items in a target domain (music) with respect to their relatedness to an input item in a source domain (POIs).  ...  We present a knowledge-based framework built upon the DBpedia ontology linking items from different domains.  ...  Then, with such relations, users and items were incorporated into a graph, upon which a probabilistic recommendation model was built.  ... 
doi:10.1145/2390848.2390854 dblp:conf/mm/KaminskasFRC12 fatcat:lpd5tttxkrehhg3pyh7exre26u

A Hybrid Recommender System for Improving Automatic Playlist Continuation

Anna Gatzioura, Joao Vinagre, Alipio Mario Jorge, Miquel Sanchez-Marre
2019 IEEE Transactions on Knowledge and Data Engineering  
To overcome the semantic gap between music descriptions and user preferences, identify playlist structures and capture songs' similarity, a graph model is used.  ...  Although widely used, the majority of current music recommender systems still focus on recommendations' accuracy, user preferences and isolated item characteristics, without evaluating other important  ...  with low-level, sound-based characteristics (like pitch, tempo, etc  ... 
doi:10.1109/tkde.2019.2952099 fatcat:rb2jg5rhnbgsvbra2uvqxohgtq

Learning Hierarchical Review Graph Representations for Recommendation [article]

Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang
2021 arXiv   pre-print
We compared RGNN with state-of-the-art review-based recommendation approaches on two real-world datasets.  ...  In this paper, we propose a novel review-based recommendation model, named Review Graph Neural Network (RGNN).  ...  To remedy this problem, various types of side information have been incorporated into the recommendation systems, e.g., users' social relationships [12] , the item knowledge graph [13] , and the users  ... 
arXiv:2004.11588v3 fatcat:r5j5dncjjzhw5jtysqewmy35va

Limitations of interactive music recommendation based on audio content

Arthur Flexer, Martin Gasser, Dominik Schnitzer
2010 Proceedings of the 5th Audio Mostly Conference on A Conference on Interaction with Sound - AM '10  
We present a study on the limitations of an interactive music recommendation service based on automatic computation of audio similarity.  ...  This problem is studied in-depth with a series of computer experiments including analysis of alternative audio similarity functions and comparison with actual download data.  ...  This research is supported by the Austrian Science Fund (FWF, grants L511-N15 and P21247) and the Vienna Science and Technology Fund (WWTF, project "Audiominer").  ... 
doi:10.1145/1859799.1859812 dblp:conf/audio/FlexerGS10 fatcat:d3makwcblbgjno355ft2xoiqqi

A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions

Janneth Chicaiza, Priscila Valdiviezo-Diaz
2021 Information  
As the main survey result, we found that the use of knowledge graphs for recommendations is an efficient way to leverage and connect a user's and an item's knowledge, thus providing more precise results  ...  Recently, knowledge graph-based recommendations have attracted attention in academia and the industry because they can alleviate information sparsity and performance problems.  ...  Specifically, Reference [74] proposes to connect the data of sound and musical items with external graphs such as WordNet and DBPedia; thus, the initial data are enriched.  ... 
doi:10.3390/info12060232 fatcat:idwc2gu5zbcpfoqg3o2cfhtgo4

Explainable Session-based Recommendation with Meta-path Guided Instances and Self-Attention Mechanism

Jiayin Zheng, Juanyun Mai, Yanlong Wen
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
Compared with recent strong baselines, our method is competent to the SOTA performance on three datasets and meanwhile provides sound and clear explanations.  ...  Session-based recommendation (SR) gains increasing popularity because it helps greatly maintain users' privacy.  ...  ACKNOWLEDGMENTS This research is supported by Chinese Scientific and Technical Innovation Project 2030 (No. 2018AAA0102100), National Natural Science Foundation of China (No. 62077031).  ... 
doi:10.1145/3477495.3531895 fatcat:cj7oaa6vp5elle77w4ix5tgidq
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