With the expansion of the Internet and the advent of smart phones, people now are able to get easy access to and extend their activities on the Web. The domestic Internet usage rate reached 78%, and the number of Smartphone users totaled 30 million in 2012 [1]. Under these environmental changes, today’s users have an enormous amount of information within their reach and can see it increase exponentially. In the flood of such information, they want to have a means to search for desired information easily an
We have described a personalized music recommendation system using K-nearest neighbour that is KNN a...
Abstract — Recommender systems are mostly implemented in E-commerce website to help users or custome...
Collaborative filtering (CF)-based recommender systems represent a promising solution for the rapidl...
Internet and E-commerce are the generators of abundant of data, causing information Overloading. Th...
As mobile market grows more and more fast, the mobile contents market, especially music contents for...
The music industry is currently growing very rapidly. The limited time possessed by consumers to con...
In the last ten years, our ways to listen to music have drastically changed: In earlier times, we we...
In the Internet music scene, where recommendation technology is key for navigating huge collections,...
The fast growth of online communities and increasing pop-ularity of internet-accessing smart devices...
Many businesses enhance on-line user experience using various recommender systems which have a growi...
Includes bibliographical references (leaves 64-67).The high adoption of mobile phones coupled with 3...
This study analyzes five music recommender systems that are also internet radio systems from a user-...
In order to draw users ’ attention and to increase their satisfaction towards online information sea...
The recommendation system is a system that can suggest information based on the results of observati...
Providing means to assist the user in finding music is one of the original motivations underlying th...
We have described a personalized music recommendation system using K-nearest neighbour that is KNN a...
Abstract — Recommender systems are mostly implemented in E-commerce website to help users or custome...
Collaborative filtering (CF)-based recommender systems represent a promising solution for the rapidl...
Internet and E-commerce are the generators of abundant of data, causing information Overloading. Th...
As mobile market grows more and more fast, the mobile contents market, especially music contents for...
The music industry is currently growing very rapidly. The limited time possessed by consumers to con...
In the last ten years, our ways to listen to music have drastically changed: In earlier times, we we...
In the Internet music scene, where recommendation technology is key for navigating huge collections,...
The fast growth of online communities and increasing pop-ularity of internet-accessing smart devices...
Many businesses enhance on-line user experience using various recommender systems which have a growi...
Includes bibliographical references (leaves 64-67).The high adoption of mobile phones coupled with 3...
This study analyzes five music recommender systems that are also internet radio systems from a user-...
In order to draw users ’ attention and to increase their satisfaction towards online information sea...
The recommendation system is a system that can suggest information based on the results of observati...
Providing means to assist the user in finding music is one of the original motivations underlying th...
We have described a personalized music recommendation system using K-nearest neighbour that is KNN a...
Abstract — Recommender systems are mostly implemented in E-commerce website to help users or custome...
Collaborative filtering (CF)-based recommender systems represent a promising solution for the rapidl...