Text Recommender System Using User's Usage Patterns

  title={Text Recommender System Using User's Usage Patterns},
  author={Yong Soo Kim},
  journal={Industrial Management and Data Systems},
Purpose – The purpose of this paper is to develop a novel and flexible recommender system based on usage patterns and keyword preferences using collaborative filtering (CF) and content-based filtering (CBF). Design/methodology/approach – The proposed system analyzes data captured from the navigational and behavioral patterns of users and estimates the popularity and similarity levels of a user’s clicked content. Based on this information, content is recommended to each user using recommendation… CONTINUE READING
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