一種融入用戶情緒因素的綜合音樂(lè)推薦方法
發(fā)布時(shí)間：2018-12-29 14:03
【摘要】：隨著互聯(lián)網(wǎng)和移動(dòng)互聯(lián)網(wǎng)的發(fā)展,越來(lái)越多的用戶在消費(fèi)數(shù)字音像制品時(shí),希望從繁多的內(nèi)容中得到更好的推薦。不同于普通商品,音樂(lè)的消費(fèi)過(guò)程與用戶的情緒關(guān)聯(lián)十分密切。本文設(shè)計(jì)了一種融入用戶情緒因素的綜合音樂(lè)推薦方法。該方法利用現(xiàn)代心理學(xué)中人類情緒的自然節(jié)律模型,結(jié)合時(shí)間變化來(lái)推測(cè)用戶當(dāng)前的主導(dǎo)情緒。通過(guò)人工情緒模型來(lái)增加情緒的維度,以產(chǎn)生粒度更精細(xì)的情緒,并通過(guò)用戶輸入的訓(xùn)練,來(lái)逼近用戶當(dāng)前的真實(shí)情緒。在現(xiàn)有的音樂(lè)推薦方法基礎(chǔ)上,加入或過(guò)濾出情緒分類與用戶情緒吻合的推薦結(jié)果。實(shí)驗(yàn)結(jié)果驗(yàn)證了情緒因素會(huì)對(duì)音樂(lè)推薦過(guò)程產(chǎn)生影響,構(gòu)建的融入用戶情緒因素的綜合音樂(lè)推薦方法,比其他不考慮情緒因素的推薦策略好且穩(wěn)定,具有較好的實(shí)際應(yīng)用效果。
[Abstract]:With the development of Internet and mobile Internet, more and more users hope to get better recommendation from various content when consuming digital audio and video products. Unlike ordinary goods, the consumption process of music is closely related to the user's emotions. This paper designs a comprehensive music recommendation method which integrates user emotion factors. This method uses the natural rhythm model of human emotion in modern psychology and combines the time change to speculate the current dominant emotion of the user. The artificial emotion model is used to increase the dimension of emotion to produce more granular emotion and to approach the user's current real emotion through user input training. On the basis of the existing music recommendation methods, we add or filter out the recommended results of emotion classification and user emotion matching. The experimental results show that the emotional factors will affect the music recommendation process. The integrated music recommendation method which integrates the user emotional factors is better and more stable than other recommendation strategies without taking into account the emotional factors and has a better practical application effect.
【作者單位】： 浙江工商大學(xué)管理工程與電子商務(wù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(71571162) 國(guó)家科技支撐計(jì)劃項(xiàng)目(2014BAH24F06) 教育部人文社會(huì)科學(xué)重點(diǎn)研究基地項(xiàng)目(14JJD630011)
【分類號(hào)】：TP391.3
，
本文編號(hào)：2394922
[Abstract]:With the development of Internet and mobile Internet, more and more users hope to get better recommendation from various content when consuming digital audio and video products. Unlike ordinary goods, the consumption process of music is closely related to the user's emotions. This paper designs a comprehensive music recommendation method which integrates user emotion factors. This method uses the natural rhythm model of human emotion in modern psychology and combines the time change to speculate the current dominant emotion of the user. The artificial emotion model is used to increase the dimension of emotion to produce more granular emotion and to approach the user's current real emotion through user input training. On the basis of the existing music recommendation methods, we add or filter out the recommended results of emotion classification and user emotion matching. The experimental results show that the emotional factors will affect the music recommendation process. The integrated music recommendation method which integrates the user emotional factors is better and more stable than other recommendation strategies without taking into account the emotional factors and has a better practical application effect.
【作者單位】： 浙江工商大學(xué)管理工程與電子商務(wù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(71571162) 國(guó)家科技支撐計(jì)劃項(xiàng)目(2014BAH24F06) 教育部人文社會(huì)科學(xué)重點(diǎn)研究基地項(xiàng)目(14JJD630011)
【分類號(hào)】：TP391.3
，
本文編號(hào)：2394922
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