Volume 8 Issue 4 - July 2017

  • 1. Music recommender system and characterization using som

    Authors : Kartik Pillai

    Pages : 73-76

    DOI : http://dx.doi.org/10.21172/1.84.10

    Keywords : Recommender SystemJava Audio Feature ExtractorSelf-Organizing Maps

    Abstract :

    Recommender system as a decision making strategy for users under complex information environment. In today’s world information/data/resource generated in huge form through production system. The key to a good recommender system lies in its ability to provide good recommendations that are new, unexpected, trust inspiring and somewhat transparent. This paper proposed the recommender system for Music Recommendation and it will recommend songs to the users based on their preferences, using Self organizing maps algorithm. The proposed model integrates the use of Self organising maps algorithm, based on artist, genre and ratings. Several iterations are undergone to identify performance of model.

    Citing this Journal Article :

    Kartik Pillai, "Music recommender system and characterization using som", https://www.ijltet.org/journal_details.php?id=918&j_id=3832, Volume 8 Issue 4 - July 2017, 73-76, #ijltetorg