Abstract
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.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1226-1231 |
Number of pages | 6 |
ISBN (Electronic) | 9781538616451 |
DOIs | |
Publication status | Published - 2017 Nov 27 |
Event | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada Duration: 2017 Oct 5 → 2017 Oct 8 |
Publication series
Name | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
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Volume | 2017-January |
Other
Other | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
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Country/Territory | Canada |
City | Banff |
Period | 17/10/5 → 17/10/8 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Control and Optimization