Leveraging Microblogs for Spatiotemporal Music Information Retrieval
نویسنده
چکیده
We present results of text data mining experiments for music retrieval, analyzing microblogs gathered from November 2011 to September 2012 to infer music listening patterns all around the world. We assess relationships between particular music preferences and spatial properties, such as month, weekday, and country, and the temporal stability of listening activities. The findings of our study will help improve music retrieval and recommendation systems in that it will allow to incorporate geospatial and cultural information into models for music retrieval, which has not been looked into before.
منابع مشابه
Exploring Geospatial Music Listening Patterns in Microblog Data
Microblogs are a steadily growing, valuable, albeit noisy, source of information on interests, preferences, and activities. As music plays an important role in many human lives we aim to leverage microblogs for music listening-related information. Based on this information we present approaches to estimate artist similarity, popularity, and local trends, as well as approaches to cluster artists...
متن کاملThe Million Musical Tweet Dataset - What We Can Learn From Microblogs
Microblogs and Social Media applications are continuously growing in spread and importance. Users of Twitter, the currently most popular platform for microblogging, create more than a billion posts (called tweets) every week. Among all the different types of information being shared, some people post their music listening behavior, which is why Twitter became interesting for the Music Informati...
متن کاملLIG at CLEF 2016 Cultural Microblog Contextualization: TimeLine illustration based on Microblogs
This paper presents the approach used by the LIG-MRIM research group to the participation of the task 3 (TimeLine illustration based on Microblogs) for the CLEF of Cultural Microblog Contextualization track. This task deals with the retrieval of tweets related to cultural events (music festivals) . For the content-based elements, we use the classical BM25 model [4]. Then, we diversify the resul...
متن کاملMIR2.0: Exploiting Users’ Input in Music Information Retrieval
In the era of Web2.0 where users become active contributors instead of merely consumers, Music Information Retrieval (MIR) has turned into a similar new model: MIR2.0. In this new model, users’ input is exploited for discovering and resolving a variety of research problems in MIR. This paper reviews representative MIR studies within the last decade that leverage users’ input of various types ra...
متن کاملPrototyping a Vibrato-Aware Query-By-Humming (QBH) Music Information Retrieval System for Mobile Communication Devices: Case of Chromatic Harmonica
Background and Aim: The current research aims at prototyping query-by-humming music information retrieval systems for smart phones. Methods: This multi-method research follows simulation technique from mixed models of the operations research methodology, and the documentary research method, simultaneously. Two chromatic harmonica albums comprised the research population. To achieve the purpose ...
متن کامل