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2016 | OriginalPaper | Chapter

5. Knowledge-Based Recommender Systems

Author: Charu C. Aggarwal

Publisher: Springer International Publishing

Published in: Recommender Systems

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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.

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Content-based systems are used both in the information retrieval and the relational settings, whereas knowledge-based systems are used mostly in the relational setting.

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Title

Knowledge-Based Recommender Systems

Book

Recommender Systems

Print ISBN: 978-3-319-29657-9

Electronic ISBN: 978-3-319-29659-3

https://doi.org/10.1007/978-3-319-29659-3

DOI

https://doi.org/10.1007/978-3-319-29659-3_5

Author:

Charu C. Aggarwal

Publisher

Springer International Publishing

Sequence number

Chapter number

Chapter 5