Chapter

Recommender Systems

pp 167-197

Date:

Knowledge-Based Recommender Systems

  • Charu C. AggarwalAffiliated withIBM T.J. Watson Research Center

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Abstract

Both content-based and collaborative systems require a significant amount of data about past buying and rating experiences. For example, collaborative systems require a reasonably well populated ratings matrix to make future recommendations. In cases where the amount of available data is limited, the recommendations are either poor, or they lack full coverage over the entire spectrum of user-item combinations.