Towards Improved Music Recommendation: Using Blogs and Micro-Blogs

Towards Improved Music Recommendation: Using Blogs and Micro-Blogs

Remco Snijders (Utrecht University, Utrecht, Netherlands) and Marco Spruit (Utrecht University, Utrecht, Netherlands)
DOI: 10.4018/ijmdem.2014010103


With the explosive growth of the World Wide Web and the rise of social media, new approaches in Music Recommendation evolve. The current study investigates how blogs and micro-blogs can improve the perceived quality of music recommendation. A literature review and expert interviews are conducted to identify important topics regarding (micro-) blogs and Music Recommendation. Subsequently, the prototype Songdice is built and tested in a user-evaluation. Songdice uses music blogs to recommend songs and rationalize those recommendations. The authors' results show that (micro-) blogs can improve the perceived quality of recommendations by creating trust, using personalization and exploiting the quality of music in the long tail. Additional research is required to determine the most effective way to use information from blogs and micro-blogs. The authors' research explores a new area in music recommendation literature and provides a starting point for further research concerning the combination of (micro-) blogs and music recommendation.
Article Preview

2. Methodology

Our research starts with a review of the current literature. This review focuses on literature regarding recommendation engines, their approaches, evaluation processes and success, but also on blogs and micro-blogs.

From the literature review, important topics in music recommendation are selected. These topics are used to create a semi-structured interview for potential or current users of music-recommender systems. In addition, the topics help to define questions for several expert and user interviews. These interviews complemented the reviewed literature with personal insights.

The interviews are analyzed and combined with the literature. This analysis serves as input for the prototype requirements, in which technical and time-restriction are taken into account. Subsequently, a prototype that implements the requirements is designed and developed.

After developing the prototype, the user-evaluation is performed. A questionnaire is combined with the prototype to evaluate its quality. Hereby, the perceived quality of recommendations is measured. These results are used to draw a conclusion, propose improvements to the prototype and discuss areas for further research. Figure 1 gives a visualization of the methodology of this study.

Figure 1.

A visualization of the methodology

This section presents a literature review on relevant research in Music Recommendation, music sharing through blogs and micro-blogs, improvements of perceived quality, combination of information and evaluation of recommendation systems.

Complete Article List

Search this Journal:
Open Access Articles: Forthcoming
Volume 10: 4 Issues (2019): Forthcoming, Available for Pre-Order
Volume 9: 4 Issues (2018): 2 Released, 2 Forthcoming
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing