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Nature Inspired Recommender Algorithms for Collaborative Web based Learning Environments
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 114 - Number 14 |
| Year of Publication: 2015 |
| Authors: Dinesh Kumar Saini, Lakshmi Sunil Prakash |
10.5120/20046-2048
|
Dinesh Kumar Saini, Lakshmi Sunil Prakash . Nature Inspired Recommender Algorithms for Collaborative Web based Learning Environments. International Journal of Computer Applications. 114, 14 ( March 2015), 16-22. DOI=10.5120/20046-2048
Abstract
The design of recommender systems for various domains has been proposed based on the nature inspired algorithms. In this paper attempt is made to propose a Nature Inspired Algorithms based architecture for recommender system for web based learning environments. The paper also compares between the traditional recommender systems and the nature inspired algorithm recommender systems. Collaborative filtering is proposed for personalized recommendations; user and item attributes are used as filtration parameter. Attributes and rating of the user's similarity is used for collaborative filtering process. Hybrid collaborative filtering is proposed for user and item attribute that can alleviate the sparsity issue in the recommender systems. Traditional systems are studied in detail and all the possible limitations of the traditional systems are bought under attention.
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