IPTV-VOD Program Recommendation System Using Single-Scaled Hybrid Filtering

机译：使用单比例混合滤波的IPTV-VOD节目推荐系统

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摘要

In this paper, a new program recommendation algorithm is proposed to recommend user preferred VOD program in IPTV environment. A proposed system is implemented with hybrid filtering method that can cooperatively complements the shortcomings of the content-based filtering and collaborative filtering. For a user program preference, a single-scaled measure is designed so that the recommendation performance between content-based filtering and collaborative filtering is easily compared and reflected to final hybrid filtering procedure. In order to provide a high quality of program recommendation, we use not only the user watching history, but also the user program preference and mid-subgenre program preference updated weekly as a user preference profile. System performance is evaluated with modified IPTV data from real 24-weeks cable TV watching data provided by Nilson Reseach Corp. in Korea and it shows quite comparative quality of recommendation.

机译：本文提出了一种新的节目推荐算法，以推荐IPTV环境下用户偏爱的VOD节目。提出的系统采用混合过滤方法来实现，该方法可以协同补充基于内容的过滤和协同过滤的缺点。针对用户程序的偏爱，设计了单标度度量，以便可以轻松比较基于内容的过滤和协作过滤之间的推荐性能，并将其反映到最终的混合过滤过程中。为了提供高质量的节目推荐，我们不仅使用用户观看历史记录，还将每周更新的用户节目偏好和中子类别节目偏好用作用户偏好档案。系统性能通过修改后的IPTV数据进行了评估，该数据来自韩国Nilson Reseach Corp.提供的真实的24周有线电视观看数据，显示出相当不错的推荐质量。

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《New aspects of signal processing, computational geometry and artificial vision》|2010年|p.128-133|共6页
会议地点 Taiwan(CT);Taiwan(CT)
作者
KYUSIK PARK; JONGMU CHOI; DONGHEE LEE;
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作者单位

Department of Computer Science Dankook University 125 Jukjeon-dong, Suji-gu, Yongin-si, Gyeonggi-do KOREA;

Department of Computer Science Dankook University 125 Jukjeon-dong, Suji-gu, Yongin-si, Gyeonggi-do KOREA;

School of Computer Science Univ. of Seoul 13 Siripdae-gil, Dongdaemun-gu, Seoul KOREA;

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原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
关键词
IPTV; recommendation system; hybrid filtering; content-based filtering; collaborative filtering; program preference;

机译：IPTV；推荐系统；混合过滤基于内容的过滤；协同过滤程序偏好;

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3. User Preference Mining through Hybrid Collaborative Filtering and Content-Based Filtering in Recommendation System [J] . Kyung-Yong JUNG, Jung-Hyun LEE IEICE Transactions on Information and Systems . 2004,第12期

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4. P2P music recommender system based on a single-scaled hybrid filtering [C] . Hee-Jae Won, Won-Jung Yoon, Kyu-Sik Park 2011 IEEE International Conference on Consumer Electronics . 2011

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5. A Comparative Study of Collaborative Filtering Recommendation Systems Using Algorithms to Impute Large Sparse Matrices. [D] . Lindo, Steven Christopher. 2016

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6. A Hybrid Recommendation System for Marine Science Observation Data Based on Content and Literature Filtering [O] . Xiaoyang Song, Yonggang Guo, Yongguo Chang, 2020

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7. Survey on Collaborative Filtering, Content-based Filtering and Hybrid Recommendation System [O] . Poonam B. Thorat, R. M. Goudar, Sunita Barve 2015

机译：协同过滤，基于内容的过滤和混合推荐系统综述

IPTV-VOD Program Recommendation System Using Single-Scaled Hybrid Filtering

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