Using Viewing Time to Infer User Preference in Recommender Systems

  title={Using Viewing Time to Infer User Preference in Recommender Systems},
  author={Jeffrey Parsons and Paul Ralph and Katherine Gallagher},
The need for effective technologies to help Web users locate items (information or products) is increasing as the amount of information on the Web grows. Collaborative filtering is one of the most successful techniques for making recommendations; however, most CF-based systems require explicit user ratings and a large quantity of usage history to function effectively. In addition, such systems typically rely on comparing a user to ‘‘similar’’ users encountered before. We develop and evaluate… CONTINUE READING
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