To this end, we model the recommendation generation as an optimization problem and propose a new set-based particle swarm optimization method to solve it. We ...
To this end, we model the recommendation generation as an optimization problem and propose a new set-based particle swarm optimization method to solve it. We ...
Abstract. The explosive growth of mobile apps has given rise to the challenge of finding out interesting apps for users. Recommender systems are employed.
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RS can help users to find relevant items in huge information spaces in a personalized way. Several techniques have been investigated for the development of RS.
In this section we propose our Cylinder Filling Set-based Particle Swarm Optimization (CF-SPSO) algorithm to generate collaborative app recommendations. The ...
To implement the framework, we originally introduce the method of swarm intelligence to the recommendation of mobile apps. To be detailed, we firstly ...
The system described in this paper is based around a collaborative filtering approach, building up profiles of users and then using an algorithm to find ...
Swarm intelligence algorithm refers to an intelligent computing method formed by simulating the evolutionary laws, behavior characteristics, and thinking ...
Collaborative filtering algorithms work in much the same way and suggest new content and products based on the behavior of similar customers.
It is memory based and uses the entire user-item database to generate prediction and also uses a statistical technique to find nearest neighbors. The clustering ...