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Machine Learning Paradigms - Applications in Recommender Systems (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R3,150
Discovery Miles 31 500
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Machine Learning Paradigms - Applications in Recommender Systems (Paperback, Softcover reprint of the original 1st ed. 2015)
Series: Intelligent Systems Reference Library, 92
Expected to ship within 10 - 15 working days
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Total price: R3,170
Discovery Miles: 31 700
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This timely book presents Applications in Recommender Systems which
are making recommendations using machine learning algorithms
trained via examples of content the user likes or dislikes.
Recommender systems built on the assumption of availability of both
positive and negative examples do not perform well when negative
examples are rare. It is exactly this problem that the authors
address in the monograph at hand. Specifically, the books approach
is based on one-class classification methodologies that have been
appearing in recent machine learning research. The blending of
recommender systems and one-class classification provides a new
very fertile field for research, innovation and development with
potential applications in “big data” as well as “sparse
data” problems. The book will be useful to researchers,
practitioners and graduate students dealing with problems of
extensive and complex data. It is intended for both the
expert/researcher in the fields of Pattern Recognition, Machine
Learning and Recommender Systems, as well as for the general reader
in the fields of Applied and Computer Science who wishes to learn
more about the emerging discipline of Recommender Systems and their
applications. Finally, the book provides an extended list of
bibliographic references which covers the relevant literature
completely.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Intelligent Systems Reference Library, 92 |
| Release date: |
October 2016 |
| Firstpublished: |
2015 |
| Authors: |
Aristomenis S Lampropoulos
• George A. Tsihrintzis
|
| Dimensions: |
235 x 155 x 8mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
125 |
| Edition: |
Softcover reprint of the original 1st ed. 2015 |
| ISBN-13: |
978-3-319-38496-2 |
| Categories: |
Books >
Computing & IT >
General
|
| LSN: |
3-319-38496-1 |
| Barcode: |
9783319384962 |
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