Paper Info
Title
A Context Aware Personalized Media Recommendation System: An Adaptive Evolutionary Algorithm Approach
Abstract
Smart devices and pervasive connectivity have lead to an increase in demand for providing intelligent personalized services that improve user experience. Providing personalized media recommendation services that recommend content relevant to the user is gaining prevalence. In this paper we investigate the use of context capture on the user's devices as a method of learning all the user activity patterns and using these patterns to generate content recommendations. We propose a novel recommendation mechanism based on an evolutionary algorithm that evaluates new content based on multiple objectives. We show by way of simulation, improvements in the provided recommendations compared to traditional methods.
Year
DOI
Venue
2011
10.1109/BIC-TA.2011.4
BIC-TA
Keywords
Field
DocType
new content,multiple objective,intelligent personalized service,context capture,evolutionary algorithm,adaptive evolutionary algorithm approach,context aware personalized media,novel recommendation mechanism,user activity pattern,personalized media recommendation service,user experience,content recommendation,recommendation system,genetic algorithms,evolutionary computation,genetic algorithm,pattern analysis,data mining,recommender system,recommender systems,learning artificial intelligence,ubiquitous computing,evolutionary algorithms
Recommender system,User experience design,Evolutionary algorithm,Computer science,Pattern analysis,Evolutionary computation,Context awareness,Artificial intelligence,Ubiquitous computing,Machine learning,Genetic algorithm
Conference
Citations 
PageRank 
References 
1
0.34
11
Authors
5
Name
Order
Citations
PageRank
Karthik Srinivasa Gopalan191.55
Senthil Nathan21225.37
Bhanu Teja C.H.310.34
Ashok Babu Channa460.79
Prateek Saraf560.79