A Recommendation System Based on Implicit Data for Internet Protocol Television (IPTV)

نویسندگان

چکیده

IPTV delivers television content over Internet Protocol (IP) networks. Videos On Demand (VOD) is the most popular IPTV, allowing users to freely select from a vast pool of program genres. Therefore, it necessary introduce innovative features attract new and retain existing ones. For this purpose, systems typically use VOD recommendation engines. The primary purpose suggest user-relevant items various by producing list recommendations for each user. In paper, we an approach in IPTV. We developed on implicit feedback derived users’ interaction with movies/series sets, such as how many times they watched movie long have spent watching specific movies/series. previous factors, tested variety algorithms, content-based, collaborative-based, hybrid. Then applied previously mentioned algorithms real-life big data sets after introducing some modifications then benchmarked results multiple performance metrics. noticed that changes achieved promising results.

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ژورنال

عنوان ژورنال: The AIUB journal of science and engineering

سال: 2023

ISSN: ['1608-3679', '2520-4890']

DOI: https://doi.org/10.53799/ajse.v22i2.491