{"title":"人工智能和自然语言处理在语音助手音乐推荐中的应用","authors":"A. V. Kadam","doi":"10.22161/ijebm.7.3.9","DOIUrl":null,"url":null,"abstract":"This paper builds on the popular use case of music requests on voice assistants like Siri, Google Assistant, Alexa, and others and explores the different AI and NLP techniques. The paper particularly focuses on how each of these techniques can be applied in the context of musical recommendations and experiences on voice assistants. It enumerates specific problems in the space of music recommendations and illustrates how specific techniques like multi-armed bandits can be applied.","PeriodicalId":388836,"journal":{"name":"International Journal of Engineering, Business and Management","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applications of AI and NLP to advance Music Recommendations on Voice Assistants\",\"authors\":\"A. V. Kadam\",\"doi\":\"10.22161/ijebm.7.3.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper builds on the popular use case of music requests on voice assistants like Siri, Google Assistant, Alexa, and others and explores the different AI and NLP techniques. The paper particularly focuses on how each of these techniques can be applied in the context of musical recommendations and experiences on voice assistants. It enumerates specific problems in the space of music recommendations and illustrates how specific techniques like multi-armed bandits can be applied.\",\"PeriodicalId\":388836,\"journal\":{\"name\":\"International Journal of Engineering, Business and Management\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Engineering, Business and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22161/ijebm.7.3.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering, Business and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22161/ijebm.7.3.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applications of AI and NLP to advance Music Recommendations on Voice Assistants
This paper builds on the popular use case of music requests on voice assistants like Siri, Google Assistant, Alexa, and others and explores the different AI and NLP techniques. The paper particularly focuses on how each of these techniques can be applied in the context of musical recommendations and experiences on voice assistants. It enumerates specific problems in the space of music recommendations and illustrates how specific techniques like multi-armed bandits can be applied.
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