No, That’s Not My Feedback: TV Show Recommendation Using Watchable Interval
- Title
- No, That’s Not My Feedback: TV Show Recommendation Using Watchable Interval
- Author
- 김상욱
- Keywords
- TV show recommendation; Implicit feedback; Watchable interval; Watchable episode; Recommender systems
- Issue Date
- 2019-04
- Publisher
- IEEE ICDE 2019
- Citation
- 2019 IEEE 35th International Conference on Data Engineering (ICDE), Page. 316-327
- Abstract
- As the number of TV channels increases, it is becoming important to recommend TV shows that users prefer to watch. To this end, we investigate the inherent characteristics of implicit feedback given in the TV show domain, and identify the challenges for building an effective TV show recommendation. Based on the unique characteristics, we define a user's watchable interval, the most important and novel concept in understanding users' true preferences. In order to reflect this new concept into the TV show recommendation, we propose a novel framework based on collaborative filtering. Our framework is composed of (1) preference estimation based on a user's watchable interval, (2) preference prediction based on confidence exploiting watchable episodes, and (3) top-N recommendation considering TV show's staying and remaining times. Using a real-world TV show dataset, we demonstrate that our framework effectively solves the challenges and significantly outperforms other existing state-of-the-art methods.
- URI
- https://ieeexplore.ieee.org/document/8731575/https://repository.hanyang.ac.kr/handle/20.500.11754/151051
- ISBN
- 978-1-5386-7474-1
- ISSN
- 2375-026X
- DOI
- 10.1109/ICDE.2019.00036
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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