scholarly journals Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery

Author(s):  
Dimitrios Rafailidis ◽  
Alexandros Nanopoulos ◽  
Yannis Manolopoulos

In popular music information retrieval systems, users have the opportunity to tag musical objects to express their personal preferences, thus providing valuable insights about the formulation of user groups/communities. In this article, the authors focus on the analysis of social tagging data to reveal coherent groups characterized by their users, tags and music objects (e.g., songs and artists), which allows for the expression of discovered groups in a multi-aspect way. For each group, this study reveals the most prominent users, tags, and music objects using a generalization of the popular web-ranking concept in the social data domain. Experimenting with real data, the authors’ results show that each Tag-Aware group corresponds to a specific music topic, and additionally, a three way ranking analysis is performed inside each group. Building Tag-Aware groups is crucial to offer ways to add structure in the unstructured nature of tags.

Author(s):  
Dimitrios Rafailidis ◽  
Alexandros Nanopoulos ◽  
Yannis Manolopoulos

In popular music information retrieval systems, users have the opportunity to tag musical objects to express their personal preferences, thus providing valuable insights about the formulation of user groups/communities. In this article, the authors focus on the analysis of social tagging data to reveal coherent groups characterized by their users, tags and music objects (e.g., songs and artists), which allows for the expression of discovered groups in a multi-aspect way. For each group, this study reveals the most prominent users, tags, and music objects using a generalization of the popular web-ranking concept in the social data domain. Experimenting with real data, the authors’ results show that each Tag-Aware group corresponds to a specific music topic, and additionally, a three way ranking analysis is performed inside each group. Building Tag-Aware groups is crucial to offer ways to add structure in the unstructured nature of tags.


2009 ◽  
Vol 38 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Frans Wiering ◽  
Justin de Nooijer ◽  
Anja Volk ◽  
Hermi J.M. Tabachneck-Schijf

Author(s):  
Roberto J.G. Unger ◽  
Isa Maria Freire

O artigo apresenta o conceito de regime de informação aos gestores de informação, como contribuição aos processos de adaptação e adequação de sistemas de informação e linguagens documentárias para atender às necessidades informacionais dos usuários. Regimes de informação são modos de produção informacional dominantes numa formação econômico-social que pressupõem, necessariamente, em seu contexto fontes de informação que são disseminadas e exercem influência no contexto social em que estão estabelecidas. Nesse aspecto, as sociedades têm regimes de informação através dos quais organizam a produção material e simbólica e representam a dinâmica das relações sociais. Dentre as diversas formas de manifestações institucionais atuais, destacam-se os sistemas de recuperação da informação, a manifestação per se do fenômeno que move o regime. Os sistemas de recuperação da informação, por sua vez, usam linguagens documentárias para organizar e comunicar a informação organizada nos inúmeros “agregados de informação”, que Barreto (1996) define como “estruturas” que armazenam “estoques de informação” e podem atuar como “agentes”, ou “mediadores”, entre uma fonte de informação e seus usuários. Abstract The article presents the concept of regime of information to information managers as a contribution for the proccesses of adaptation and adjustment of information systems and documentary language to really attend the information needs of users. Regimes of information are dominants modules of informational production in economic-social formation that presuppose, necessarily, in its context information sources wich are disseminated and put in actions influences in the structure which they are established. Under these circumstances, societies have regimes of information through whom organize symbolic and material production and represent the social dynamics relations. In the midst of several kinds of actual institutional manifestations, distinguish the information retrieval systems, the expression per se of the phenomenon that moves the regime. Under this configuration, the information retrieval systems make use of documentary language to organize, describe and communicate provided information in innumerable aggregates of information that, according Barreto (1996), “are structures which harvest “supply of information” and they operate as “agents” or “mediators” between a source of information and their users”.


Author(s):  
J. Stephen Downie

The use of informetric analyses has had profound effects on the development of powerful information retrieval systems. The informetric properties of melodies represented as simple collections of intervallic n=grams exhibit some remarkable similarities to the well-known informetric properties of text. Understanding these similarities can play a vital role in the creation of a successful. . .


Author(s):  
George Tzanetakis

Marsyas, is an open source audio processing framework with specific emphasis on building Music Information Retrieval systems. It has been been under development since 1998 and has been used for a variety of projects in both academia and industry. In this chapter, the software architecture of Marsyas will be described. The goal is to highlight design challenges and solutions that are relevant to any MIR software. Keywords: Information Processing, Music, Information Retrieval, System Design, Evaluation, Fast Fourier Transfer (FFT), Feature Extraction, MFCC


Web Mining ◽  
2011 ◽  
pp. 339-354 ◽  
Author(s):  
Bernard J. Jansen ◽  
Amanda Spink

This chapter reviews the concepts of Web results page and Web page viewing patterns by users of Web search engines. It presents the advantages of using traditional transaction log analysis in identifying these patterns, serving as a basis for Web usage mining. The authors also present the results of a temporal analysis of Web page viewing, illustrating that the user — information interaction is extremely short. By using real data collected from real users interacting with real Web information retrieval systems, the authors aim to highlight one aspect of the complex environment of Web information seeking.


2022 ◽  
Vol 8 (1) ◽  
pp. 1-32
Author(s):  
Sajid Hasan Apon ◽  
Mohammed Eunus Ali ◽  
Bishwamittra Ghosh ◽  
Timos Sellis

Social networks with location enabling technologies, also known as geo-social networks, allow users to share their location-specific activities and preferences through check-ins. A user in such a geo-social network can be attributed to an associated location (spatial), her preferences as keywords (textual), and the connectivity (social) with her friends. The fusion of social, spatial, and textual data of a large number of users in these networks provide an interesting insight for finding meaningful geo-social groups of users supporting many real-life applications, including activity planning and recommendation systems. In this article, we introduce a novel query, namely, Top- k Flexible Socio-Spatial Keyword-aware Group Query (SSKGQ), which finds the best k groups of varying sizes around different points of interest (POIs), where the groups are ranked based on the social and textual cohesiveness among members and spatial closeness with the corresponding POI and the number of members in the group. We develop an efficient approach to solve the SSKGQ problem based on our theoretical upper bounds on distance, social connectivity, and textual similarity. We prove that the SSKGQ problem is NP-Hard and provide an approximate solution based on our derived relaxed bounds, which run much faster than the exact approach by sacrificing the group quality slightly. Our extensive experiments on real data sets show the effectiveness of our approaches in different real-life settings.


Author(s):  
Richard L. Kline

This chapter discusses key issues of building and using a system designed to search and query a music collection through the input of the actual or perceived melody of a song. It presents a detailed survey and discussion of studies, algorithms, and systems created to approach this problem, including new contributions by the author. Emphasis is placed on examining the abilities and likely errors of those with little or no formal musical training to remember and reproduce melodic phrases, as these must be taken into account for any music information retrieval system intended for use by the general public. The chapter includes an extensive discussion on human humming as an intuitive input method for the musically untrained person and an examination of several music information retrieval systems designed for this type of input query.


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