Using Personality Information in Collaborative Filtering for New Users

@inproceedings{Hu2011UsingPI,
  title={Using Personality Information in Collaborative Filtering for New Users},
  author={Rong Hu and R Hu},
  year={2011}
}
Recommender systems help users more easily and quickly find products that they truly prefer amidst the enormous volume of information available to them. Collaborative filtering (CF) methods, making recommendations based on opinions from “most similar” users, have been widely adopted in various applications. In spite of the overall success of CF systems, they encounter one crucial issue remaining to be solved, namely the cold-start problem. In this paper, we propose a method that combines human… CONTINUE READING
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Data Mining Based Recommendation System Using Social Websites

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A Framework for Collaborative, Content-Based and Demographic Filtering

Artificial Intelligence Review • 1999
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