Serendipitous Mentorship in Music Recommender Systems

The long-tail phenomenon tells us that there are many items in the tail. However, not all tail items are the same. Each item acquires different kinds of users. Some items are loved by the general public, while some items are consumed by eccentric fans. In this paper, we propose a novel metric, item eccentricity, to incorporate this difference between consumers of the items. Eccentric items are defined as items that are consumed by eccentric users. We used this metric to analyze two real-world datasets of music and movies and observed the characteristics of items in terms of eccentricity. The results showed that our defined eccentricity of an item does not change much over time, and classified eccentric and noneccentric items present significantly distinct characteristics. The proposed metric effectively separates the eccentric and noneccentric items mixed in the tail, which could not be done with the previous measures, which only consider the popularity of items.

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Measuring the Eccentricity of Items

Park

Kim

2017

Preprint

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Serendipitous Mentorship in Music Recommender Systems

Cited by 4 publications

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An overview on the state-of-the-art comparison of the three-contextualization paradigms

An overview on the state-of-the-art comparison of the three-contextualization paradigms

Measuring the eccentricity of items

Measuring the Eccentricity of Items

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