Location and MOOD based Playlist generation

被引：0

作者：

Sheth, Mitul ^{[1
]}

Sorathia, Prashant ^{[2
]}

Popat, Shivang ^{[1
]}

机构：

[1] BH Gardi Coll Engn, Rajkot, Gujarat, India

[2] Nirma Univ, Inst Technol, Ahmadabad, Gujarat, India

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI) | 2017年

关键词：

Location; MOOD; Song; Playlist; REGRESSION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays all people want something new in every field. If someone is listening to song then selection of song is quite tedious task. So our aim is to identify the best suitable song for user based on his/her MOOD. So we have developed two techniques for prediction of song, first one is based upon some previously played songs and second one takes location factor in to consideration. Every user has some pattern for listening to songs which we will try to exploit for playlist generation.

引用

页数：4

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