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Explainable Recommendation - A Survey and New Perspectives (Paperback)
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Explainable Recommendation - A Survey and New Perspectives (Paperback)
Series: Foundations and Trends (R) in Information Retrieval
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Explainable recommendation attempts to develop models that generate
not only high-quality recommendations but also intuitive
explanations. It tries to address the problem of why: by providing
explanations to users or system designers, it helps humans to
understand why certain items are recommended by the algorithm,
where the human can either be users or system designers.
Explainable recommendation helps to improve the transparency,
persuasiveness, effectiveness, trustworthiness, and satisfaction of
recommendation systems, and facilitates system designers for better
system debugging.In recent years, a large number of explainable
recommendation approaches have been proposed and applied in
real-world systems. This survey provides a comprehensive review of
the explainable recommendation research. The authors first
highlight the position of explainable recommendation in recommender
system research by categorizing recommendation problems into the 5W
(what, when, who, where, and why). They then conduct a
comprehensive survey of explainable recommendation on three
perspectives: (1) a chronological research timeline of explainable
recommendation; (2) a two-dimensional taxonomy to classify existing
explainable recommendation research; (3) a summary of how
explainable recommendation applies to different recommendation
tasks. The authors also devote a section to discuss the explanation
perspectives in broader IR and AI/ML research and end the survey by
discussing potential future directions to promote the explainable
recommendation research area and beyond.
General
Imprint: |
Now Publishers Inc
|
Country of origin: |
United States |
Series: |
Foundations and Trends (R) in Information Retrieval |
Release date: |
March 2020 |
First published: |
2020 |
Authors: |
Yongfeng Zhang
• Xu Chen
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Dimensions: |
234 x 156mm (L x W) |
Format: |
Paperback
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Pages: |
114 |
ISBN-13: |
978-1-68083-658-5 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
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LSN: |
1-68083-658-7 |
Barcode: |
9781680836585 |
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