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Context-Aware Collaborative Prediction

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-981-10-5373-3

ISBN: 978-981-10-5372-6

Publisher: Springer Singapore - Springer Journals

Mar 11, 2018

Available

Introduction

Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu

Pages: 1 –5

[In this chapter, we introduce the basic concepts of contextual information and collaborative prediction. Then, we introduce the scenarios of context-aware collaborative prediction and point out some limitations of the conventional methods. Finally, we introduce the tasks of collaborative...
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Context-Aware Collaborative Prediction

Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu

Pages: 7 –17

[Context-aware collaborative prediction takes contextual information into consideration when modeling user preferences and predicting user behaviors. There are two general ways to integrate contexts with collaborative prediction: contextual filtering and contextual modeling. Contextual filtering...
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Contextual Operation

Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu

Pages: 19 –29

[Motivated by recent works of natural language processing, this chapter introduces the concept of contextual operation for context-aware modeling. This operation represents each context value with a latent vector and models the contextual information as a semantic operation on the user and item....
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Hierarchical Representation

Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu

Pages: 31 –41

[This chapter introduces a hierarchical interaction representation (HIR) model, which treats the interaction among different entities and contexts as representation. This model generates the interaction representation of two entities via tensor multiplication, which is performed iteratively to...
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Context-Aware Recurrent Structure

Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu

Pages: 43 –51

[To investigate and address the problem of context-aware sequential prediction, this chapter introduces a sequential prediction model, named context-aware recurrent neural networks (CA-RNNs). Instead of using the constant input matrix and transition matrix in conventional RNN models, CA-RNN uses...
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Performance of Different Collaborative Prediction Tasks

Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu

Pages: 53 –69

[This chapter contains the experiments of four tasks, i.e., general recommendation, context-aware recommendation, latent collaborative retrieval, and click-through rate prediction. At first, this chapter describes the representative methods of collaborative prediction, context-aware collaborative...

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