MUSIC RECOMMENDATION SYSTEM BASED ON THE CONTINUOUS COMBINATION OF CONTEXTUAL INFORMATION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

DOLATKIA IMAN; AZIMZADEH FATEMEH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2016 | Issue:2

Download Full-Text

View:

139

Download:

109

Information Seminar Paper

Title

MUSIC RECOMMENDATION SYSTEM BASED ON THE CONTINUOUS COMBINATION OF CONTEXTUAL INFORMATION

Author(s)

DOLATKIA IMAN | AZIMZADEH FATEMEH | Issue Writer Certificate

Keywords

CONTEXTUAL INFORMATION

MUSIC RECOMMENDATION SYSTEM

BEHAVIOR ANALYZE

MUSIC INTEREST’S PSYCHOLOGY

Abstract

WITH THE PROGRESS OF TECHNOLOGY IN MUSIC PLAYERS, ESPECIALLY IN INTELLIGENT CELL PHONES, USERS HAVE ACCESS TO LARGE ARCHIVES. QUICK AND EASY SELECTING FAVORITE MUSIC AMONG THESE LARGE ARCHIVES BECOMES ONE THE BIGGEST PROBLEMS FOR USERS. FOR EXAMPLE, SELECTING MUSIC IN A SILENT FOREST IS DIFFERENT FROM A CROWDED STREET OR FEELINGS FOR LISTENING TO MUSIC IN A MORNING OF A WORKING DAY IS DIFFERENT FROM AN AFTERNOON OF A HOLIDAY. IN THIS PAPER, A SYSTEM HAS BEEN DESIGNED THAT IT COLLECTS USERS’ CONTEXT INFORMATION SUCH AS WEATHER, TEMPERATURE, GEOGRAPHICAL POSITION, ETC., AND ACCORDING TO A WEIGHTED COMBINATION OF THEM, IT RECOMMENDS AN APPROPRIATE MUSIC THAT IS A USER’S FAVORITE AT THE MOMENT. THUS, THIS SYSTEM INCLUDES A RATING METHOD THAT DETERMINES HOW CLOSE ARE MUSIC’S CONTEXT, WHICH HAVE BEEN PLAYED BEFORE, IN THE MOMENT’S CONTEXT AND RECOMMEND THE MUSIC THAT HAS THE MOST CLOSENESS. THE RESULT OF THIS RESEARCH SHOWS THAT RECOMMENDATIONS THAT THIS SYSTEM MAKES IN DIFFERENT CONDITIONS, IS CLOSED TO THE USER’S CHOICE.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

DOLATKIA, IMAN, & AZIMZADEH, FATEMEH. (2016). MUSIC RECOMMENDATION SYSTEM BASED ON THE CONTINUOUS COMBINATION OF CONTEXTUAL INFORMATION. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/910199/en

Vancouver: Copy

DOLATKIA IMAN, AZIMZADEH FATEMEH. MUSIC RECOMMENDATION SYSTEM BASED ON THE CONTINUOUS COMBINATION OF CONTEXTUAL INFORMATION. 2016. Available from: https://sid.ir/paper/910199/en

IEEE: Copy

IMAN DOLATKIA, and FATEMEH AZIMZADEH, “MUSIC RECOMMENDATION SYSTEM BASED ON THE CONTINUOUS COMBINATION OF CONTEXTUAL INFORMATION,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2016, [Online]. Available: https://sid.ir/paper/910199/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops