Research On Hybrid Movie Recommendation Algorithm Based on Bias LFM and LSH

目录

声明

Abstract

摘要

Acknowledgments

Contents

List of Figures

List of Tables

Chapter 1Introduction

1．1 Background of the recommendation system and signifi-CanCe

1．2 Overall research status

1．3 Objectives of research

1．4 The thesis structure

Chapter 2Related Technical Principles and Analysis

2．1 Content-based recommendation

2．2 Collaborative filtering recommendation

2．2．1 User-based collaborative filtering

2．2．2 Item-based collaborative filtering

2．2．3 The advantage and disadvantage of collaborative filtering

2．3 Singular value decomposition

2．3．1 Traditional SVD

2．3．2 Funk SVD

2．4 Evaluation criteria for recommendation system

2．5 Summary

Chapter 3Hybrid Model Based on Bias LFM and LSH

3．1 Introduction

3．2 Algorithm overall process

3．3 Time bias latent factor model

3．3．1 User bias join time factor

3．3．2 Item bias join time factor

3．3．3 Process and implementation

3．4 Local sensitive hashing algorithm in recommendation

3．4．1 Principle of LSH

3．4．2 Procedure of LSH

3．5 Hybrid recommendation procedure

3．6 Summary

Chapter 4Exoerlment and analysis

4．1 Experiment environment and dataset

4．2 Analysis of results

4．2．1 Experiment evaluation index

4．2．2 Analysis of time bias LFM results

4．2．3 Analysis of LSH results

4．3 Summary

Chapter 5Conclusion and future work

5．1 Conclusion

5．2 Future work

References