Yu-Hao Chin, Szu-Hsien Lin, Chang-Hong Lin, E. Siahaan, A. Frisky, Jia Ching Wang
{"title":"基于情感档案的音乐推荐","authors":"Yu-Hao Chin, Szu-Hsien Lin, Chang-Hong Lin, E. Siahaan, A. Frisky, Jia Ching Wang","doi":"10.1109/U-MEDIA.2014.32","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an emotion profile based music recommendation system. In the proposed algorithm, two emotion profiles are constructed using decision value in support vector machine (SVM), and based on short term and long term features respectively. The recognized emotion, emotion profile, and personal historical query results are fed into the recommendation module to generate the recommended music list.","PeriodicalId":174849,"journal":{"name":"2014 7th International Conference on Ubi-Media Computing and Workshops","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Emotion Profile-Based Music Recommendation\",\"authors\":\"Yu-Hao Chin, Szu-Hsien Lin, Chang-Hong Lin, E. Siahaan, A. Frisky, Jia Ching Wang\",\"doi\":\"10.1109/U-MEDIA.2014.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an emotion profile based music recommendation system. In the proposed algorithm, two emotion profiles are constructed using decision value in support vector machine (SVM), and based on short term and long term features respectively. The recognized emotion, emotion profile, and personal historical query results are fed into the recommendation module to generate the recommended music list.\",\"PeriodicalId\":174849,\"journal\":{\"name\":\"2014 7th International Conference on Ubi-Media Computing and Workshops\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 7th International Conference on Ubi-Media Computing and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/U-MEDIA.2014.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 7th International Conference on Ubi-Media Computing and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/U-MEDIA.2014.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we propose an emotion profile based music recommendation system. In the proposed algorithm, two emotion profiles are constructed using decision value in support vector machine (SVM), and based on short term and long term features respectively. The recognized emotion, emotion profile, and personal historical query results are fed into the recommendation module to generate the recommended music list.