基于标签对家庭IPTV业务个性化推送机制的用户体验优化研究

doi:10.3969/j.issn.1000-0801.2014.07.018

Abstract

Abstract:

iMusci Karaok is a service on IPTV developed and operated by China Telecom. It is needed to introduce active personalized push approach of content in order to improve user experience, due to higher cost of remote controller than PC and mobile phone. However, Karaok is a household service, and is ununiform to identify users on server side and terminal side, which will bring inaccurate result when normal recommendation algorithm is adopted. Meanwhile, traditional recommendation algorithm has defects of Matthew effect and cold reboot, which will decrease user experience. To tackle such problems of user experience, the recommendation algorithm was selected and optimized by combination of content label so as to increase recommendation objectively. This research is aiming at enhancing user experience effect rather than algorithm complexity.

Key words: association rule, label, personalized push, AHP, weight, SVD, independence test, Matthew effect

Yingbo Zhu,Jianwei Diao,Bo Kang,Shengqiang Liu. User Experience Optimization Researcb on Personalized Pusb Approacb of IPTV Service Based on Label of Contents[J]. Telecommunications Science, 2014, 30(7): 113-120.

歌曲语种	节日类型	歌曲发布年代	音乐风格（复选）	音乐心情（复选）	卡拉OK版本	歌曲嗓音类型（复选）	歌曲节奏类型	伴奏乐器组成	…
国语	元旦	20世纪50年代及以前	流行	开心	A版风景	温柔	节奏动感	电子乐器为主	…
粤语	妇女节	20世纪60年代	网络	甜蜜	A版人物	甜美	节奏明快	不插电乐器为主	…
闽南语	元宵节	20世纪70年代	摇滚	祝福	A版剧情	明亮	节奏中等	电子、不插电各半	…
英语	春节	20世纪80年代	电子	悠扬	A版动画	清澈	节奏舒缓	…	…
日韩	传统情人节	20世纪90年代	校园	抒情	B版风景	吟唱	…	…	…
多语种混合	党的生日	2000年以后	乡村	幽默	B版人物	中性	…	…	…
…	…	…	…	…	…	…	…	…	…

阶数n	2	3	4	5	6	7	8	9	10	11
RI	0	0.58	0.90	1.12	1.24	1.32	1.41	1.45	1.49	1.51

	歌手性别	歌曲语种	歌曲影响年代	歌手人数	是否原唱	音乐风格	音乐心情	歌曲节奏类型	歌曲音调高低	卡拉OK画面背景	卡拉OK歌曲版本
歌手性别	1	0.60	0.53	6.20	0.71	0.71	1.11	1.13	2.60	6.60	6.60
歌曲语种	1.67	1	0.53	5.40	0.71	0.73	1.11	1.13	2.60	6.60	6.60
歌曲影响年代	1.88	1.88	1	6.20	5.00	1.20	0.51	1.13	6.60	6.40	6.40
歌手人数	0.16	0.19	0.16	1	0.21	0.31	0.31	0.73	1.00	6.20	1.40
是否原唱	1.40	1.40	0.20	4.67	1	1.40	0.93	1.40	2.60	1.80	1.80
音乐风格	1.40	1.36	0.83	3.18	0.71	1	1.80	1.20	6.00	5.20	3.60
音乐心情	0.90	0.90	1.94	3.18	1.07	0.56	1	1.20	6.00	5.20	3.60
歌曲节奏类型	0.88	0.88	0.88	1.36	0.71	0.83	0.83	1	2.60	4.87	3.27
歌曲音调高低	0.38	0.38	0.15	1.00	0.38	0.17	0.17	0.38	1	1.67	3.27
卡拉OK画面背景	0.15	0.15	0.16	0.16	0.56	0.19	0.19	0.21	0.60	1	1
卡拉OK歌曲版本	0.15	0.15	0.16	0.71	0.56	0.28	0.28	0.31	0.31	1.00	1

Obs	标签	粗犷	沧桑	磁性	低沉	高亢	浑厚	空灵	铿锵	明亮	清澈	沙哑	甜美	温柔	细腻	惰懒	悠扬	中性
1	粗犷	0	0	0.1%	0	12.9%	0	95.6%	0	0.1%	0	0	0	0	7.5%	62.7%	0	7.2%
2	沧桑	0	0	0	0	78.6%	56.7%	25.0%	51.2%	0	0	0	0	0	48.0%	31.8%	0	24.6%
3	磁性	0.1%	0	0	0	0	0.4%	0	5.3%	0	0	0.1%	0	0	40.4%	59.3%	0	0
4	低沉	0	0	0	0	0	3.0%	77.7%	65.0%	0	0	0	0	0	45.2%	45.8%	0	39.2%
5	高亢	12.9%	78.6%	0	0	0	0	0	0	0	0	0.3%	5.5%	0	0	78.1%	0.4%	0
6	浑厚	0	56.7%	0.4%	3.0%	0	0	18.7%	0	0.5%	0	43.5%	0	0	2.6%	76.8%	0	49.8%
7	空灵	95.6%	25.0%	0	77.7%	0	18.7%	0	12.3%	96.7%	19.3%	23.8%	0.3%	0	3.6%	0	39.9%	5.8%
8	铿锵	0	51.2%	5.3%	65.0%	0	0	12.3%	0	97.9%	2.9%	1.8%	0	0	0.8%	46.9%	0	29.3%
9	明亮	0.1%	0	0	0	0	0.5%	96.7%	97.9%	0	0	0	0	0	18.6%	1.4%	2.4%	0
10	清澈	0	0	0	0	0	0	19.3%	2.9%	0	0	0	0	0	2.8%	1.7%	0	0
11	沙哑	0	0	0.1%	0	0.3%	43.5%	23.8%	1.8%	0	0	0	0	0	41.7%	29.4%	0	54.9%
12	甜美	0	0	0	0	5.5%	0	0.3%	0	0	0	0	0	0	21.6%	31.4%	0	0
13	温柔	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.3%	0	0
14	细腻	7.5%	48.0%	40.4%	45.2%	0	2.6%	3.6%	0.8%	18.6%	2.8%	41.7%	21.6%	0	0	38.8%	0	60.6%
15	惰懒	62.7%	31.8%	59.3%	45.8%	78.1%	76.8%	0	46.9%	1.4%	1.7%	29.4%	31.4%	0.3%	38.8%	0	1.8%	88.5%
16	悠扬	0	0	0	0	0.4%	0	39.9%	0	2.4%	0	0	0	0	0	1.8%	0	0
17	中性	7.2%	24.6%	0	39.2%	0	49.8%	5.8%	29.3%	0	0	54.9%	0	0	60.6%	88.5%	0	0

Obs	标签	沧桑	空灵	铿锵	细腻	惰懒	中性
1	沧桑	0	25.0%	51.2%	48.0%	31.8%	24.6%
2	空灵	25.0%	0	12.3%	3.6%	0	5.8%
3	铿锵	51.2%	12.3%	0	0.8%	46.9%	29.3%
4	细腻	48.0%	3.6%	0.8%	0	38.8%	60.6%
5	惰懒	31.8%	0	46.9%	38.8%	0	88.5%
6	中性	24.6%	5.8%	29.3%	60.6%	88.5%	0

User Experience Optimization Researcb on Personalized Pusb Approacb of IPTV Service Based on Label of Contents

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1	罩亮，王喜成．层次分析法在制造业电子商务网站评价中的应用．桂林电子工业学院学报， 2006(1): 74～75
	余力，刘鲁．电子商务个性化推荐研究．计算机集成制造系统， 2004,10(10)
3	奉国和，梁晓婷．协同过滤推荐研究综述．图书情报工作， 2011,55(16)
4	陈萌，杨成，王欢等．交互式电视中个性化推荐系统的研究．电视技术， 2012,36(14)
5	徐淮杰，张二芬．基于关联规则与奇异值分解的音乐推荐系统．电子设计工程， 2013,21(1)

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