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Big data recommender systems. Volume 2, Application paradigms / edited by Osman Khalid, Samee U. Khan, Albert Y. Zomaya.
- Format:
- Book
- Series:
- Professional applications of computing series ; 35.
- IET book series on big data.
- Professional applications of computing series ; 35
- IET book series on big data
- Language:
- English
- Subjects (All):
- Big data.
- Physical Description:
- 1 online resource (xvii, 499 pages).
- Place of Publication:
- London, England : The Institution of Engineering and Technology, [2019]
- Summary:
- First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
- Notes:
- Includes bibliographical references and index.
- Description based on print version record.
- ISBN:
- 1-83724-780-3
- 1-5231-2725-2
- 1-78561-978-0
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