Table of contents
About this book
This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through rate prediction. The proposed techniques offer significant improvements over current methods, the key determinants being the incorporated contextual representation and hierarchical representation. To provide a background to the core ideas presented, it offers an overview of contextual modeling and the theory of contextual representation and hierarchical representation, which are constructed for the joint interaction of entities and contextual information.
The book offers a rich blend of theory and practice, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information.
- DOI https://doi.org/10.1007/978-981-10-5373-3
- Copyright Information The Author(s) 2017
- Publisher Name Springer, Singapore
- eBook Packages Computer Science
- Print ISBN 978-981-10-5372-6
- Online ISBN 978-981-10-5373-3
- Series Print ISSN 2191-5768
- Series Online ISSN 2191-5776
- About this book