Featured Research

from universities, journals, and other organizations

Music recommendations improved with emotional tags, evocative keywords

Date:
June 24, 2014
Source:
Inderscience
Summary:
A new music recommendation system has been developed by information scientists in Korea. The addition of emotional tags, evocative keywords, to the music files you listen to could improve music recommendations in a way that is not possible with the standard recommendation approaches used by well-known social music sites where number of plays and "likes" are the only factors taken into account.

A new music recommendation system has been developed by information scientists in Korea. They report details in the latest issue of the International Journal of Intelligent Information and Database Systems.

The addition of emotional tags, evocative keywords, to the music files you listen to could improve music recommendations in a way that is not possible with the standard recommendation approaches used by well-known social music sites where number of plays and "likes" are the only factors taken into account. The approach gets around the cold-start problem for new artists and new users alike allowing music that has not had a chance to become popular to be tagged and if that if lots of users tag it positively it will become more highly recommended.

Hyon Hee Kim, Donggeon Kim and Jinnam Jo of the Department of Statistics and Information Science, at Dongduk Women's University, in Seoul, explain that a combination of listening habits and meaningful, semantic, tagging of music files, with terms such as melancholy, tragic, joyful, awesome, unexpected, boring, annoying and many others, has allowed them to develop a unified music recommendation system. The team has tested their approach on 1,000 users, 12,600 tags added to 18,700 music items that they listened to and randomly collected from the well-known online music service last.fm. They report that their approach performs better than the conventional recommendation systems based on simple frequency of play metrics or on a simple positive-negative grading system.

The team's approach classifies tags as being organizational, genre classifying and emotional and then breaks down the emotional into positive and negative as well as adding a greater statistical weight to those tags, such as perfect or boring, than to the ones that simply define a track as, for instance, progressive rock or jazz.

"Our proposed approach gives a good solution to the conventional cold start problem," the researchers explain, "Collecting users' listening habits takes time for users to listen to the music items for a long duration." The use of emotional tags makes it much easier for users to select out music tracks based on mood or other evocative factors and avoid those that are not likely to please them, in this way not only is the new system acting as a kind of "word-of-mouth" recommendation but it also overcomes the data sparseness problem facing new users and new musicians.


Story Source:

The above story is based on materials provided by Inderscience. Note: Materials may be edited for content and length.


Journal Reference:

  1. Hyon Hee Kim, Donggeon Kim, Jinnam Jo. A unified music recommender system using listening habits and semantics of tags. International Journal of Intelligent Information and Database Systems, 2014; 8 (1): 14 DOI: 10.1504/IJIIDS.2014.060460

Cite This Page:

Inderscience. "Music recommendations improved with emotional tags, evocative keywords." ScienceDaily. ScienceDaily, 24 June 2014. <www.sciencedaily.com/releases/2014/06/140624140516.htm>.
Inderscience. (2014, June 24). Music recommendations improved with emotional tags, evocative keywords. ScienceDaily. Retrieved September 2, 2014 from www.sciencedaily.com/releases/2014/06/140624140516.htm
Inderscience. "Music recommendations improved with emotional tags, evocative keywords." ScienceDaily. www.sciencedaily.com/releases/2014/06/140624140516.htm (accessed September 2, 2014).

Share This




More Mind & Brain News

Tuesday, September 2, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Can You Train Your Brain To Eat Healthy?

Can You Train Your Brain To Eat Healthy?

Newsy (Sep. 1, 2014) New research says if you condition yourself to eat healthy foods, eventually you'll crave them instead of junk food. Video provided by Newsy
Powered by NewsLook.com
Coffee Then Napping: The (New) Key To Alertness

Coffee Then Napping: The (New) Key To Alertness

Newsy (Aug. 30, 2014) Researchers say having a cup of coffee then taking a nap is more effective than a nap or coffee alone. Video provided by Newsy
Powered by NewsLook.com
Young Entrepreneurs Get $100,000, If They Quit School

Young Entrepreneurs Get $100,000, If They Quit School

AFP (Aug. 29, 2014) Twenty college-age students are getting 100,000 dollars from a Silicon Valley leader and a chance to live in San Francisco in order to work on the start-up project of their dreams, but they have to quit school first. Duration: 02:20 Video provided by AFP
Powered by NewsLook.com
Baby Babbling Might Lead To Faster Language Development

Baby Babbling Might Lead To Faster Language Development

Newsy (Aug. 29, 2014) A new study suggests babies develop language skills more quickly if their parents imitate the babies' sounds and expressions and talk to them often. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins