Interest-Based personalized Recommender System

@article{Vashisth2011InterestBasedPR,
  title={Interest-Based personalized Recommender System},
  author={Pooja Bhatt Vashisth and Punam Bedi},
  journal={2011 World Congress on Information and Communication Technologies},
  year={2011},
  pages={245-250}
}
The challenge in a recommendation system is to help users in dealing with the problem of information overload. Personalization, when applied to recommendation in e-market can transform a product into a dedicated solution for an individual. In this paper, we describe the method used for personalization of recommendations generated by an Interest-Based Recommender System (IBRS). This paper proposes a design framework for a personalized multi-agent IBRS. The IBRS is an agent- based recommender… CONTINUE READING

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