Kajian Sistem Rekomendasi Pada Keanekaragaman Podcast
Abstract
Abstrak. Keaneragaman podcast dari berbagai sudut pandang merupakan tantangan yang perlu dipecahkan dalam rangka pemilihan rekomendasi konten, agar sampai ke pendengar sesuai dengan seleranya. Paper ini menyajikan hasil analisis terhadap pendekatan-pendekatan sistem rekomendasi yang dapat diterapkan pada podcast. Metode yang digunakan dalam kajian ini adalah tinjauan kepustakaan meliputi proses membaca serta menganalisis artikel dalam jurnal, laporan riset terdahulu, paten serta pemberitaan yang terkait dengan podcast. Hasil kajian menyimpulkan bahwa tingginya tingkat keaneragaman podcast dan perilaku pendengarnya menciptakan peluang eksplorasi penelitian disebabkan karena sedikitnya jumlah penelitian terkait untuk menjawab tantangan-tantangan yang terus berkembang.
Kata kunci: Sistem Rekomendasi, Podcast, Pengambilan Informasi
Abstract. The diversity of podcasts from various points of view is a challenge that needs to be solved in the context of selecting content recommendations, so that it reaches listeners according to their tastes. This study aims to analyze the recommendation system approaches that can be applied to podcasts. The method used in this research is a literature review which includes the process of reading and analyzing articles in journals, previous research reports, patents and news related to podcasts. The results of the study conclude that the high level of diversity of podcasts and their listeners' behavior creates opportunities for research exploration due to the small number of related studies to answer the challenges that continue to grow.
Keywords: Recommender System on Podcast, Information Retrieval, Podcast
References
The Trends That Shaped Streaming in 2020, https://newsroom.spotify.com/2020-1201/the-trends-that-shaped-streaming-in-2020/#:~:text=2020%20Global% 20Streaming% 20Trends&text=As%20people%20started%20to%20social,Sleepy%3A%20Sleep% 20meditation%20and%20stories., 2020.
Akintunde, Raleigh, “Podroom,” https://www.f6s.com/podroom, 2020 [3] Anne. et Al. “Techniques and Systems for Supporting Podcasting”, https://scienceon. kisti.re.kr/srch/selectPORSrchPatent.do?cn=USP2018039923962, 2018
Kreitzer, S. S., Dvorak, J. L., & Estes, C. D. U.S. Patent No. 8,392,528. Washington, DC: U.S. Patent and Trademark Office, 2013
Benton, G., Fazelnia, G., Wang, A., & Carterette, B. Trajectory Based Podcast Recommendation. arXiv preprint arXiv:2009.03859, 2020.
Clifton, A., Pappu, A., Reddy, S., Yu, Y., Karlgren, J., Carterette, B., & Jones, R. The Spotify Podcast Dataset. arXiv preprint arXiv:2004.04270, 2020: 1-4
Sharpe, M. A review of metadata fields associated with podcast RSS feeds. arXiv preprint arXiv:2009.12298, 2020: 1-10
Li, A., Wang, A., Nazari, Z., Chandar, P., & Carterette, B. Do podcasts and music compete with one another? Understanding users’ audio streaming habits. In Proceedings of The Web Conference 2020, April, 2020: 1920-1931.
The Power of Anchor-Made Podcasts in Indonesia: Spotify Highlights Top Shows, Including ‘Do You See What I See,’” 2020. [Online]. Available: https://newsroom.spotify.com/2020-02-26/the-power-of-anchor-made-podcasts-inindonesia-spotify-highlights-top-shows-including-do-you-see-what-i-see/. [Accessed: 18Dec-2020].
Zellatifanny, C. M. Trends in Disseminating Audio on Demand Content through Podcast: An Opportunity and Challenge in Indonesia. Jurnal Pekommas, 2020; 5(2): 117-132.
Vartakavi, A., & Garg, A. PodSumm--Podcast Audio Summarization. arXiv preprint arXiv:2009.10315. 2020: 1-9
Zheng, C., Wang, H. J., Zhang, K., & Fan, L. A Baseline Analysis for Podcast Abstractive Summarization. arXiv preprint arXiv:2008.10648. 2020
Nazari, Z., Charbuillet, C., Pages, J., Laurent, M., Charrier, D., Vecchione, B., & Carterette, B. Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, July, 2020: 1041-1050.
Schneck, K. E., Essinger, S. D., Hajari, A. J., Ho, C., Kirch, T. J., & Sordo, M. ColdStartpodcast Recommendations, U.S. Patent No. 10,945,012. Washington, DC: U.S. Patent and Trademark Office, 2021
Yang, L., Sobolev, M., Tsangouri, C., & Estrin, D. Understanding user interactions with podcast recommendations delivered via voice. In Proceedings of the 12th ACM Conference on Recommender Systems, September, 2018: 190-194.
Prindle, S., & Kent-Smith, A. Interactive Podcast Platform with Integrated Additional Audio /Visual Content, U.S. Patent Application No. 16/808,059. 2020
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