Initial Profile Generation in Recommender Systems Using Pairwise Comparison

  title={Initial Profile Generation in Recommender Systems Using Pairwise Comparison},
  author={Lior Rokach and Slava Kisilevich},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)},
Most recommender systems, such as collaborative filtering, cannot provide personalized recommendations until a user profile has been created. This is known as the new user cold-start problem. Several systems try to learn the new users' profiles as part of the sign up process by asking them to provide feedback regarding several items. We present a new, anytime preferences elicitation method that uses the idea of pairwise comparison between items. Our method uses a lazy decision tree, with… CONTINUE READING
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